Release v0.30.3

Remove unused apple-touch icons

.cirrus.yml

@@ -1,15 +1,15 @@
 freebsd_instance:
-  image_family: freebsd-13-0-snap
+  image_family: freebsd-14-0-snap
 
 task:
-  name: FreeBSD 13.0
+  name: FreeBSD
   env:
     IGNORE_OSVERSION: yes
   skip_notifications: true
   prerequisites_script:
     - pkg update -f
     - pkg upgrade -y
-    - pkg install -y pkgconf vips node npm
+    - pkg install -y devel/pkgconf graphics/vips www/node16 www/npm
   install_script:
     - npm install --build-from-source --unsafe-perm
   test_script:

docs/api-colour.md

@@ -9,7 +9,13 @@ An alpha channel may be present and will be unchanged by the operation.
 
 *   `rgb` **([string][1] | [Object][2])** parsed by the [color][3] module to extract chroma values.
 
-<!---->
+### Examples
+
+```javascript
+const output = await sharp(input)
+  .tint({ r: 255, g: 240, b: 16 })
+  .toBuffer();
+```
 
 *   Throws **[Error][4]** Invalid parameter
 
@@ -28,6 +34,12 @@ An alpha channel may be present, and will be unchanged by the operation.
 
 *   `greyscale` **[Boolean][5]**  (optional, default `true`)
 
+### Examples
+
+```javascript
+const output = await sharp(input).greyscale().toBuffer();
+```
+
 Returns **Sharp** 
 
 ## grayscale

docs/api-composite.md

@@ -41,11 +41,29 @@ and [https://www.cairographics.org/operators/][2]
         *   `images[].raw.width` **[Number][7]?** 
         *   `images[].raw.height` **[Number][7]?** 
         *   `images[].raw.channels` **[Number][7]?** 
+    *   `images[].animated` **[boolean][9]** Set to `true` to read all frames/pages of an animated image. (optional, default `false`)
     *   `images[].failOnError` **[boolean][9]** @see [constructor parameters][10] (optional, default `true`)
     *   `images[].limitInputPixels` **([number][7] | [boolean][9])** @see [constructor parameters][10] (optional, default `268402689`)
 
 ### Examples
 
+```javascript
+await sharp(background)
+  .composite([
+    { input: layer1, gravity: 'northwest' },
+    { input: layer2, gravity: 'southeast' },
+  ])
+  .toFile('combined.png');
+```
+
+```javascript
+const output = await sharp('input.gif', { animated: true })
+  .composite([
+    { input: 'overlay.png', tile: true, blend: 'saturate' }
+  ])
+  .toBuffer();
+```
+
 ```javascript
 sharp('input.png')
   .rotate(180)

docs/api-input.md

@@ -11,8 +11,8 @@ A `Promise` is returned when `callback` is not provided.
 
 *   `format`: Name of decoder used to decompress image data e.g. `jpeg`, `png`, `webp`, `gif`, `svg`
 *   `size`: Total size of image in bytes, for Stream and Buffer input only
-*   `width`: Number of pixels wide (EXIF orientation is not taken into consideration)
-*   `height`: Number of pixels high (EXIF orientation is not taken into consideration)
+*   `width`: Number of pixels wide (EXIF orientation is not taken into consideration, see example below)
+*   `height`: Number of pixels high (EXIF orientation is not taken into consideration, see example below)
 *   `space`: Name of colour space interpretation e.g. `srgb`, `rgb`, `cmyk`, `lab`, `b-w` [...][1]
 *   `channels`: Number of bands e.g. `3` for sRGB, `4` for CMYK
 *   `depth`: Name of pixel depth format e.g. `uchar`, `char`, `ushort`, `float` [...][2]
@@ -63,6 +63,18 @@ image
   });
 ```
 
+```javascript
+// Based on EXIF rotation metadata, get the right-side-up width and height:
+
+const size = getNormalSize(await sharp(input).metadata());
+
+function getNormalSize({ width, height, orientation }) {
+  return orientation || 0 >= 5
+    ? { width: height, height: width }
+    : { width, height };
+}
+```
+
 Returns **([Promise][5]<[Object][6]> | Sharp)** 
 
 ## stats
@@ -82,9 +94,9 @@ A `Promise` is returned when `callback` is not provided.
     *   `maxX` (x-coordinate of one of the pixel where the maximum lies)
     *   `maxY` (y-coordinate of one of the pixel where the maximum lies)
 *   `isOpaque`: Is the image fully opaque? Will be `true` if the image has no alpha channel or if every pixel is fully opaque.
-*   `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any (experimental)
-*   `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any (experimental)
-*   `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram (experimental)
+*   `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any.
+*   `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any.
+*   `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram.
 
 **Note**: Statistics are derived from the original input image. Any operations performed on the image must first be
 written to a buffer in order to run `stats` on the result (see third example).

docs/api-operation.md

@@ -53,6 +53,12 @@ The use of `flip` implies the removal of the EXIF `Orientation` tag, if any.
 
 *   `flip` **[Boolean][6]**  (optional, default `true`)
 
+### Examples
+
+```javascript
+const output = await sharp(input).flip().toBuffer();
+```
+
 Returns **Sharp** 
 
 ## flop
@@ -64,6 +70,12 @@ The use of `flop` implies the removal of the EXIF `Orientation` tag, if any.
 
 *   `flop` **[Boolean][6]**  (optional, default `true`)
 
+### Examples
+
+```javascript
+const output = await sharp(input).flop().toBuffer();
+```
+
 Returns **Sharp** 
 
 ## affine
@@ -129,13 +141,43 @@ When used without parameters, performs a fast, mild sharpen of the output image.
 When a `sigma` is provided, performs a slower, more accurate sharpen of the L channel in the LAB colour space.
 Separate control over the level of sharpening in "flat" and "jagged" areas is available.
 
+See [libvips sharpen][8] operation.
+
 ### Parameters
 
-*   `sigma` **[number][1]?** the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`.
-*   `flat` **[number][1]** the level of sharpening to apply to "flat" areas. (optional, default `1.0`)
-*   `jagged` **[number][1]** the level of sharpening to apply to "jagged" areas. (optional, default `2.0`)
+*   `options` **([Object][2] | [number][1])?** if present, is an Object with attributes or (deprecated) a number for `options.sigma`.
 
-<!---->
+    *   `options.sigma` **[number][1]?** the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`.
+    *   `options.m1` **[number][1]** the level of sharpening to apply to "flat" areas. (optional, default `1.0`)
+    *   `options.m2` **[number][1]** the level of sharpening to apply to "jagged" areas. (optional, default `2.0`)
+    *   `options.x1` **[number][1]** threshold between "flat" and "jagged" (optional, default `2.0`)
+    *   `options.y2` **[number][1]** maximum amount of brightening. (optional, default `10.0`)
+    *   `options.y3` **[number][1]** maximum amount of darkening. (optional, default `20.0`)
+*   `flat` **[number][1]?** (deprecated) see `options.m1`.
+*   `jagged` **[number][1]?** (deprecated) see `options.m2`.
+
+### Examples
+
+```javascript
+const data = await sharp(input).sharpen().toBuffer();
+```
+
+```javascript
+const data = await sharp(input).sharpen({ sigma: 2 }).toBuffer();
+```
+
+```javascript
+const data = await sharp(input)
+  .sharpen({
+    sigma: 2,
+    m1: 0
+    m2: 3,
+    x1: 3,
+    y2: 15,
+    y3: 15,
+  })
+  .toBuffer();
+```
 
 *   Throws **[Error][5]** Invalid parameters
 
@@ -150,7 +192,15 @@ When used without parameters the default window is 3x3.
 
 *   `size` **[number][1]** square mask size: size x size (optional, default `3`)
 
-<!---->
+### Examples
+
+```javascript
+const output = await sharp(input).median().toBuffer();
+```
+
+```javascript
+const output = await sharp(input).median(5).toBuffer();
+```
 
 *   Throws **[Error][5]** Invalid parameters
 
@@ -190,7 +240,7 @@ Returns **Sharp**
 
 Merge alpha transparency channel, if any, with a background, then remove the alpha channel.
 
-See also [removeAlpha][8].
+See also [removeAlpha][9].
 
 ### Parameters
 
@@ -249,6 +299,12 @@ Enhance output image contrast by stretching its luminance to cover the full dyna
 
 *   `normalise` **[Boolean][6]**  (optional, default `true`)
 
+### Examples
+
+```javascript
+const output = await sharp(input).normalise().toBuffer();
+```
+
 Returns **Sharp** 
 
 ## normalize
@@ -259,12 +315,18 @@ Alternative spelling of normalise.
 
 *   `normalize` **[Boolean][6]**  (optional, default `true`)
 
+### Examples
+
+```javascript
+const output = await sharp(input).normalize().toBuffer();
+```
+
 Returns **Sharp** 
 
 ## clahe
 
 Perform contrast limiting adaptive histogram equalization
-[CLAHE][9].
+[CLAHE][10].
 
 This will, in general, enhance the clarity of the image by bringing out darker details.
 
@@ -278,7 +340,16 @@ This will, in general, enhance the clarity of the image by bringing out darker d
         cumulative histogram. A value of 0 disables contrast limiting. Valid values
         are integers in the range 0-100 (inclusive) (optional, default `3`)
 
-<!---->
+### Examples
+
+```javascript
+const output = await sharp(input)
+  .clahe({
+    width: 3,
+    height: 3,
+  })
+  .toBuffer();
+```
 
 *   Throws **[Error][5]** Invalid parameters
 
@@ -349,7 +420,7 @@ the selected bitwise boolean `operation` between the corresponding pixels of the
 
 ### Parameters
 
-*   `operand` **([Buffer][10] | [string][3])** Buffer containing image data or string containing the path to an image file.
+*   `operand` **([Buffer][11] | [string][3])** Buffer containing image data or string containing the path to an image file.
 *   `operator` **[string][3]** one of `and`, `or` or `eor` to perform that bitwise operation, like the C logic operators `&`, `|` and `^` respectively.
 *   `options` **[Object][2]?** 
 
@@ -430,28 +501,41 @@ brightness is multiplicative whereas lightness is additive.
 ### Examples
 
 ```javascript
-sharp(input)
+// increase brightness by a factor of 2
+const output = await sharp(input)
   .modulate({
-    brightness: 2 // increase brightness by a factor of 2
-  });
+    brightness: 2
+  })
+  .toBuffer();
+```
 
-sharp(input)
+```javascript
+// hue-rotate by 180 degrees
+const output = await sharp(input)
   .modulate({
-    hue: 180 // hue-rotate by 180 degrees
-  });
+    hue: 180
+  })
+  .toBuffer();
+```
 
-sharp(input)
+```javascript
+// increase lightness by +50
+const output = await sharp(input)
   .modulate({
-    lightness: 50 // increase lightness by +50
-  });
+    lightness: 50
+  })
+  .toBuffer();
+```
 
+```javascript
 // decreate brightness and saturation while also hue-rotating by 90 degrees
-sharp(input)
+const output = await sharp(input)
   .modulate({
     brightness: 0.5,
     saturation: 0.5,
-    hue: 90
-  });
+    hue: 90,
+  })
+  .toBuffer();
 ```
 
 Returns **Sharp** 
@@ -474,8 +558,10 @@ Returns **Sharp**
 
 [7]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array
 
-[8]: /api-channel#removealpha
+[8]: https://www.libvips.org/API/current/libvips-convolution.html#vips-sharpen
 
-[9]: https://en.wikipedia.org/wiki/Adaptive_histogram_equalization#Contrast_Limited_AHE
+[9]: /api-channel#removealpha
 
-[10]: https://nodejs.org/api/buffer.html
+[10]: https://en.wikipedia.org/wiki/Adaptive_histogram_equalization#Contrast_Limited_AHE
+
+[11]: https://nodejs.org/api/buffer.html

docs/changelog.md

@@ -4,6 +4,17 @@
 
 Requires libvips v8.12.2
 
+### v0.30.3 - 14th March 2022
+
+* Allow `sharpen` options to be provided more consistently as an Object.
+  [#2561](https://github.com/lovell/sharp/issues/2561)
+
+* Expose `x1`, `y2` and `y3` parameters of `sharpen` operation.
+  [#2935](https://github.com/lovell/sharp/issues/2935)
+
+* Prevent double unpremultiply with some composite blend modes (regression in 0.30.2).
+  [#3118](https://github.com/lovell/sharp/issues/3118)
+
 ### v0.30.2 - 2nd March 2022
 
 * Improve performance and accuracy when compositing multiple images.

docs/index.html

@@ -6,19 +6,13 @@
   <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
   <meta name="description" content="Resize large images in common formats to smaller, web-friendly JPEG, PNG, WebP, GIF and AVIF images of varying dimensions">
   <meta http-equiv="Content-Security-Policy" content="default-src 'self'; object-src 'none'; style-src 'unsafe-inline';
-    img-src 'unsafe-inline' data: https://pixel.plumbing/px/ https://cdn.jsdelivr.net/gh/lovell/ https://www.google-analytics.com;
+    img-src 'unsafe-inline' data: https://cdn.jsdelivr.net/gh/lovell/ https://www.google-analytics.com;
     connect-src 'self' https://www.google-analytics.com;
     script-src 'self' 'unsafe-inline' 'unsafe-eval'
       https://www.google-analytics.com/analytics.js;">
-  <link rel="icon" type="image/png" href="https://pixel.plumbing/px/32x32/sharp-logo.svg">
-  <link rel="apple-touch-icon-precomposed" sizes="152x152" href="https://pixel.plumbing/px/152x152/sharp-logo.svg">
-  <link rel="apple-touch-icon-precomposed" sizes="144x144" href="https://pixel.plumbing/px/144x144/sharp-logo.svg">
-  <link rel="apple-touch-icon-precomposed" sizes="120x120" href="https://pixel.plumbing/px/120x120/sharp-logo.svg">
-  <link rel="apple-touch-icon-precomposed" sizes="114x114" href="https://pixel.plumbing/px/114x114/sharp-logo.svg">
-  <link rel="apple-touch-icon-precomposed" sizes="72x72" href="https://pixel.plumbing/px/72x72/sharp-logo.svg">
-  <link rel="apple-touch-icon-precomposed" href="https://pixel.plumbing/px/57x57/sharp-logo.svg">
+  <link rel="icon" type="image/svg+xml" href="https://cdn.jsdelivr.net/gh/lovell/sharp@main/docs/image/sharp-logo.svg">
+  <link rel="icon" type="image/png" sizes="32x32" href="https://cdn.jsdelivr.net/gh/lovell/sharp@main/docs/image/sharp-logo.png">
   <link rel="author" href="/humans.txt" type="text/plain">
-  <link rel="dns-prefetch" href="https://pixel.plumbing">
   <link rel="dns-prefetch" href="https://www.google-analytics.com">
   <script type="application/ld+json">
   {
@@ -124,7 +118,7 @@
       router: { mode: 'history' },
       logo: '<div style="display:flex;align-items:center">'
         + '<strong>sharp</strong> '
-        + '<img src="https://pixel.plumbing/px/16x16/sharp-logo.svg" style="padding:8px" alt="#"> '
+        + '<img src="https://cdn.jsdelivr.net/gh/lovell/sharp@main/docs/image/sharp-logo.svg" style="padding:8px" width="32" height="32" alt="#"> '
         + '<span style="opacity:0.8;white-space:pre" class="shorten-strapline">High performance </span> '
         + '<span style="opacity:0.8">Node.js image processing</span> '
         + '</div>',

docs/install.md

@@ -213,9 +213,11 @@ SHARP_IGNORE_GLOBAL_LIBVIPS=1 npm install --arch=x64 --platform=linux sharp
 To get the best performance select the largest memory available.
 A 1536 MB function provides ~12x more CPU time than a 128 MB function.
 
-## Webpack
+## Bundlers
 
-Ensure sharp is added to the
+### webpack
+
+Ensure sharp is excluded from bundling via the
 [externals](https://webpack.js.org/configuration/externals/)
 configuration.
 
@@ -225,6 +227,25 @@ externals: {
 }
 ```
 
+### esbuild
+
+Ensure sharp is excluded from bundling via the
+[external](https://esbuild.github.io/api/#external)
+configuration.
+
+```js
+buildSync({
+  entryPoints: ['app.js'],
+  bundle: true,
+  platform: 'node',
+  external: ['sharp'],
+})
+```
+
+```sh
+esbuild app.js --bundle --platform=node --external:sharp
+```
+
 ## Worker threads
 
 The main thread must call `require('sharp')`

lib/colour.js

@@ -19,6 +19,11 @@ const colourspace = {
  * Tint the image using the provided chroma while preserving the image luminance.
  * An alpha channel may be present and will be unchanged by the operation.
  *
+ * @example
+ * const output = await sharp(input)
+ *   .tint({ r: 255, g: 240, b: 16 })
+ *   .toBuffer();
+ *
  * @param {string|Object} rgb - parsed by the [color](https://www.npmjs.org/package/color) module to extract chroma values.
  * @returns {Sharp}
  * @throws {Error} Invalid parameter
@@ -37,6 +42,10 @@ function tint (rgb) {
  * This may be overridden by other sharp operations such as `toColourspace('b-w')`,
  * which will produce an output image containing one color channel.
  * An alpha channel may be present, and will be unchanged by the operation.
+ *
+ * @example
+ * const output = await sharp(input).greyscale().toBuffer();
+ *
  * @param {Boolean} [greyscale=true]
  * @returns {Sharp}
  */

lib/composite.js

@@ -56,6 +56,21 @@ const blend = {
  * @since 0.22.0
  *
  * @example
+ * await sharp(background)
+ *   .composite([
+ *     { input: layer1, gravity: 'northwest' },
+ *     { input: layer2, gravity: 'southeast' },
+ *   ])
+ *   .toFile('combined.png');
+ *
+ * @example
+ * const output = await sharp('input.gif', { animated: true })
+ *   .composite([
+ *     { input: 'overlay.png', tile: true, blend: 'saturate' }
+ *   ])
+ *   .toBuffer();
+ *
+ * @example
  * sharp('input.png')
  *   .rotate(180)
  *   .resize(300)
@@ -89,6 +104,7 @@ const blend = {
  * @param {Number} [images[].raw.width]
  * @param {Number} [images[].raw.height]
  * @param {Number} [images[].raw.channels]
+ * @param {boolean} [images[].animated=false] - Set to `true` to read all frames/pages of an animated image.
  * @param {boolean} [images[].failOnError=true] - @see {@link /api-constructor#parameters|constructor parameters}
  * @param {number|boolean} [images[].limitInputPixels=268402689] - @see {@link /api-constructor#parameters|constructor parameters}
  * @returns {Sharp}

lib/constructor.js

@@ -186,8 +186,11 @@ const Sharp = function (input, options) {
     medianSize: 0,
     blurSigma: 0,
     sharpenSigma: 0,
-    sharpenFlat: 1,
-    sharpenJagged: 2,
+    sharpenM1: 1,
+    sharpenM2: 2,
+    sharpenX1: 2,
+    sharpenY2: 10,
+    sharpenY3: 20,
     threshold: 0,
     thresholdGrayscale: true,
     trimThreshold: 0,

lib/input.js

@@ -299,8 +299,8 @@ function _isStreamInput () {
  *
  * - `format`: Name of decoder used to decompress image data e.g. `jpeg`, `png`, `webp`, `gif`, `svg`
  * - `size`: Total size of image in bytes, for Stream and Buffer input only
- * - `width`: Number of pixels wide (EXIF orientation is not taken into consideration)
- * - `height`: Number of pixels high (EXIF orientation is not taken into consideration)
+ * - `width`: Number of pixels wide (EXIF orientation is not taken into consideration, see example below)
+ * - `height`: Number of pixels high (EXIF orientation is not taken into consideration, see example below)
  * - `space`: Name of colour space interpretation e.g. `srgb`, `rgb`, `cmyk`, `lab`, `b-w` [...](https://libvips.github.io/libvips/API/current/VipsImage.html#VipsInterpretation)
  * - `channels`: Number of bands e.g. `3` for sRGB, `4` for CMYK
  * - `depth`: Name of pixel depth format e.g. `uchar`, `char`, `ushort`, `float` [...](https://libvips.github.io/libvips/API/current/VipsImage.html#VipsBandFormat)
@@ -343,6 +343,17 @@ function _isStreamInput () {
  *     // data contains a WebP image half the width and height of the original JPEG
  *   });
  *
+ * @example
+ * // Based on EXIF rotation metadata, get the right-side-up width and height:
+ *
+ * const size = getNormalSize(await sharp(input).metadata());
+ *
+ * function getNormalSize({ width, height, orientation }) {
+ *   return orientation || 0 >= 5
+ *     ? { width: height, height: width }
+ *     : { width, height };
+ * }
+ *
  * @param {Function} [callback] - called with the arguments `(err, metadata)`
  * @returns {Promise<Object>|Sharp}
  */
@@ -401,9 +412,9 @@ function metadata (callback) {
  *     - `maxX` (x-coordinate of one of the pixel where the maximum lies)
  *     - `maxY` (y-coordinate of one of the pixel where the maximum lies)
  * - `isOpaque`: Is the image fully opaque? Will be `true` if the image has no alpha channel or if every pixel is fully opaque.
- * - `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any (experimental)
- * - `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any (experimental)
- * - `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram (experimental)
+ * - `entropy`: Histogram-based estimation of greyscale entropy, discarding alpha channel if any.
+ * - `sharpness`: Estimation of greyscale sharpness based on the standard deviation of a Laplacian convolution, discarding alpha channel if any.
+ * - `dominant`: Object containing most dominant sRGB colour based on a 4096-bin 3D histogram.
  *
  * **Note**: Statistics are derived from the original input image. Any operations performed on the image must first be
  * written to a buffer in order to run `stats` on the result (see third example).

lib/operation.js

@@ -63,6 +63,10 @@ function rotate (angle, options) {
 /**
  * Flip the image about the vertical Y axis. This always occurs after rotation, if any.
  * The use of `flip` implies the removal of the EXIF `Orientation` tag, if any.
+ *
+ * @example
+ * const output = await sharp(input).flip().toBuffer();
+ *
  * @param {Boolean} [flip=true]
  * @returns {Sharp}
  */
@@ -74,6 +78,10 @@ function flip (flip) {
 /**
  * Flop the image about the horizontal X axis. This always occurs after rotation, if any.
  * The use of `flop` implies the removal of the EXIF `Orientation` tag, if any.
+ *
+ * @example
+ * const output = await sharp(input).flop().toBuffer();
+ *
  * @param {Boolean} [flop=true]
  * @returns {Sharp}
  */
@@ -185,40 +193,107 @@ function affine (matrix, options) {
  * When a `sigma` is provided, performs a slower, more accurate sharpen of the L channel in the LAB colour space.
  * Separate control over the level of sharpening in "flat" and "jagged" areas is available.
  *
- * @param {number} [sigma] - the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`.
- * @param {number} [flat=1.0] - the level of sharpening to apply to "flat" areas.
- * @param {number} [jagged=2.0] - the level of sharpening to apply to "jagged" areas.
+ * See {@link https://www.libvips.org/API/current/libvips-convolution.html#vips-sharpen|libvips sharpen} operation.
+ *
+ * @example
+ * const data = await sharp(input).sharpen().toBuffer();
+ *
+ * @example
+ * const data = await sharp(input).sharpen({ sigma: 2 }).toBuffer();
+ *
+ * @example
+ * const data = await sharp(input)
+ *   .sharpen({
+ *     sigma: 2,
+ *     m1: 0
+ *     m2: 3,
+ *     x1: 3,
+ *     y2: 15,
+ *     y3: 15,
+ *   })
+ *   .toBuffer();
+ *
+ * @param {Object|number} [options] - if present, is an Object with attributes or (deprecated) a number for `options.sigma`.
+ * @param {number} [options.sigma] - the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`.
+ * @param {number} [options.m1=1.0] - the level of sharpening to apply to "flat" areas.
+ * @param {number} [options.m2=2.0] - the level of sharpening to apply to "jagged" areas.
+ * @param {number} [options.x1=2.0] - threshold between "flat" and "jagged"
+ * @param {number} [options.y2=10.0] - maximum amount of brightening.
+ * @param {number} [options.y3=20.0] - maximum amount of darkening.
+ * @param {number} [flat] - (deprecated) see `options.m1`.
+ * @param {number} [jagged] - (deprecated) see `options.m2`.
  * @returns {Sharp}
  * @throws {Error} Invalid parameters
  */
-function sharpen (sigma, flat, jagged) {
-  if (!is.defined(sigma)) {
+function sharpen (options, flat, jagged) {
+  if (!is.defined(options)) {
     // No arguments: default to mild sharpen
     this.options.sharpenSigma = -1;
-  } else if (is.bool(sigma)) {
-    // Boolean argument: apply mild sharpen?
-    this.options.sharpenSigma = sigma ? -1 : 0;
-  } else if (is.number(sigma) && is.inRange(sigma, 0.01, 10000)) {
-    // Numeric argument: specific sigma
-    this.options.sharpenSigma = sigma;
-    // Control over flat areas
+  } else if (is.bool(options)) {
+    // Deprecated boolean argument: apply mild sharpen?
+    this.options.sharpenSigma = options ? -1 : 0;
+  } else if (is.number(options) && is.inRange(options, 0.01, 10000)) {
+    // Deprecated numeric argument: specific sigma
+    this.options.sharpenSigma = options;
+    // Deprecated control over flat areas
     if (is.defined(flat)) {
       if (is.number(flat) && is.inRange(flat, 0, 10000)) {
-        this.options.sharpenFlat = flat;
+        this.options.sharpenM1 = flat;
       } else {
         throw is.invalidParameterError('flat', 'number between 0 and 10000', flat);
       }
     }
-    // Control over jagged areas
+    // Deprecated control over jagged areas
     if (is.defined(jagged)) {
       if (is.number(jagged) && is.inRange(jagged, 0, 10000)) {
-        this.options.sharpenJagged = jagged;
+        this.options.sharpenM2 = jagged;
       } else {
         throw is.invalidParameterError('jagged', 'number between 0 and 10000', jagged);
       }
     }
+  } else if (is.plainObject(options)) {
+    if (is.number(options.sigma) && is.inRange(options.sigma, 0.01, 10000)) {
+      this.options.sharpenSigma = options.sigma;
+    } else {
+      throw is.invalidParameterError('options.sigma', 'number between 0.01 and 10000', options.sigma);
+    }
+    if (is.defined(options.m1)) {
+      if (is.number(options.m1) && is.inRange(options.m1, 0, 10000)) {
+        this.options.sharpenM1 = options.m1;
+      } else {
+        throw is.invalidParameterError('options.m1', 'number between 0 and 10000', options.m1);
+      }
+    }
+    if (is.defined(options.m2)) {
+      if (is.number(options.m2) && is.inRange(options.m2, 0, 10000)) {
+        this.options.sharpenM2 = options.m2;
+      } else {
+        throw is.invalidParameterError('options.m2', 'number between 0 and 10000', options.m2);
+      }
+    }
+    if (is.defined(options.x1)) {
+      if (is.number(options.x1) && is.inRange(options.x1, 0, 10000)) {
+        this.options.sharpenX1 = options.x1;
+      } else {
+        throw is.invalidParameterError('options.x1', 'number between 0 and 10000', options.x1);
+      }
+    }
+    if (is.defined(options.y2)) {
+      if (is.number(options.y2) && is.inRange(options.y2, 0, 10000)) {
+        this.options.sharpenY2 = options.y2;
+      } else {
+        throw is.invalidParameterError('options.y2', 'number between 0 and 10000', options.y2);
+      }
+    }
+    if (is.defined(options.y3)) {
+      if (is.number(options.y3) && is.inRange(options.y3, 0, 10000)) {
+        this.options.sharpenY3 = options.y3;
+      } else {
+        throw is.invalidParameterError('options.y3', 'number between 0 and 10000', options.y3);
+      }
+    }
   } else {
-    throw is.invalidParameterError('sigma', 'number between 0.01 and 10000', sigma);
+    throw is.invalidParameterError('sigma', 'number between 0.01 and 10000', options);
   }
   return this;
 }
@@ -226,6 +301,13 @@ function sharpen (sigma, flat, jagged) {
 /**
  * Apply median filter.
  * When used without parameters the default window is 3x3.
+ *
+ * @example
+ * const output = await sharp(input).median().toBuffer();
+ *
+ * @example
+ * const output = await sharp(input).median(5).toBuffer();
+ *
  * @param {number} [size=3] square mask size: size x size
  * @returns {Sharp}
  * @throws {Error} Invalid parameters
@@ -356,6 +438,10 @@ function negate (options) {
 
 /**
  * Enhance output image contrast by stretching its luminance to cover the full dynamic range.
+ *
+ * @example
+ * const output = await sharp(input).normalise().toBuffer();
+ *
  * @param {Boolean} [normalise=true]
  * @returns {Sharp}
  */
@@ -366,6 +452,10 @@ function normalise (normalise) {
 
 /**
  * Alternative spelling of normalise.
+ *
+ * @example
+ * const output = await sharp(input).normalize().toBuffer();
+ *
  * @param {Boolean} [normalize=true]
  * @returns {Sharp}
  */
@@ -381,6 +471,14 @@ function normalize (normalize) {
  *
  * @since 0.28.3
  *
+ * @example
+ * const output = await sharp(input)
+ *   .clahe({
+ *     width: 3,
+ *     height: 3,
+ *   })
+ *   .toBuffer();
+ *
  * @param {Object} options
  * @param {number} options.width - integer width of the region in pixels.
  * @param {number} options.height - integer height of the region in pixels.
@@ -590,28 +688,38 @@ function recomb (inputMatrix) {
  * @since 0.22.1
  *
  * @example
- * sharp(input)
+ * // increase brightness by a factor of 2
+ * const output = await sharp(input)
  *   .modulate({
- *     brightness: 2 // increase brightness by a factor of 2
- *   });
+ *     brightness: 2
+ *   })
+ *   .toBuffer();
  *
- * sharp(input)
+ * @example
+ * // hue-rotate by 180 degrees
+ * const output = await sharp(input)
  *   .modulate({
- *     hue: 180 // hue-rotate by 180 degrees
- *   });
+ *     hue: 180
+ *   })
+ *   .toBuffer();
  *
- * sharp(input)
+ * @example
+ * // increase lightness by +50
+ * const output = await sharp(input)
  *   .modulate({
- *     lightness: 50 // increase lightness by +50
- *   });
+ *     lightness: 50
+ *   })
+ *   .toBuffer();
  *
+ * @example
  * // decreate brightness and saturation while also hue-rotating by 90 degrees
- * sharp(input)
+ * const output = await sharp(input)
  *   .modulate({
  *     brightness: 0.5,
  *     saturation: 0.5,
- *     hue: 90
- *   });
+ *     hue: 90,
+ *   })
+ *   .toBuffer();
  *
  * @param {Object} [options]
  * @param {number} [options.brightness] Brightness multiplier

lib/sharp.js

@@ -21,7 +21,7 @@ try {
     '- Consult the installation documentation: https://sharp.pixelplumbing.com/install'
   );
   // Check loaded
-  if (process.platform === 'win32') {
+  if (process.platform === 'win32' || /symbol/.test(err.message)) {
     const loadedModule = Object.keys(require.cache).find((i) => /[\\/]build[\\/]Release[\\/]sharp(.*)\.node$/.test(i));
     if (loadedModule) {
       const [, loadedPackage] = loadedModule.match(/node_modules[\\/]([^\\/]+)[\\/]/);

package.json

@@ -1,7 +1,7 @@
 {
   "name": "sharp",
   "description": "High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, GIF, AVIF and TIFF images",
-  "version": "0.30.2",
+  "version": "0.30.3",
   "author": "Lovell Fuller <npm@lovell.info>",
   "homepage": "https://github.com/lovell/sharp",
   "contributors": [
@@ -143,7 +143,7 @@
     "exif-reader": "^1.0.3",
     "icc": "^2.0.0",
     "license-checker": "^25.0.1",
-    "mocha": "^9.2.1",
+    "mocha": "^9.2.2",
     "mock-fs": "^5.1.2",
     "nyc": "^15.1.0",
     "prebuild": "^11.0.3",

src/operations.cc

@@ -209,7 +209,8 @@ namespace sharp {
   /*
    * Sharpen flat and jagged areas. Use sigma of -1.0 for fast sharpen.
    */
-  VImage Sharpen(VImage image, double const sigma, double const flat, double const jagged) {
+  VImage Sharpen(VImage image, double const sigma, double const m1, double const m2,
+    double const x1, double const y2, double const y3) {
     if (sigma == -1.0) {
       // Fast, mild sharpen
       VImage sharpen = VImage::new_matrixv(3, 3,
@@ -224,8 +225,14 @@ namespace sharp {
       if (colourspaceBeforeSharpen == VIPS_INTERPRETATION_RGB) {
         colourspaceBeforeSharpen = VIPS_INTERPRETATION_sRGB;
       }
-      return image.sharpen(
-        VImage::option()->set("sigma", sigma)->set("m1", flat)->set("m2", jagged))
+      return image
+        .sharpen(VImage::option()
+          ->set("sigma", sigma)
+          ->set("m1", m1)
+          ->set("m2", m2)
+          ->set("x1", x1)
+          ->set("y2", y2)
+          ->set("y3", y3))
         .colourspace(colourspaceBeforeSharpen);
     }
   }

src/operations.h

@@ -64,7 +64,8 @@ namespace sharp {
   /*
    * Sharpen flat and jagged areas. Use sigma of -1.0 for fast sharpen.
    */
-  VImage Sharpen(VImage image, double const sigma, double const flat, double const jagged);
+  VImage Sharpen(VImage image, double const sigma, double const m1, double const m2,
+    double const x1, double const y2, double const y3);
 
   /*
     Threshold an image

src/pipeline.cc

@@ -354,7 +354,7 @@ class PipelineWorker : public Napi::AsyncWorker {
       }
 
       bool const shouldPremultiplyAlpha = sharp::HasAlpha(image) &&
-        (shouldResize || shouldBlur || shouldConv || shouldSharpen || shouldComposite);
+        (shouldResize || shouldBlur || shouldConv || shouldSharpen);
 
       // Premultiply image alpha channel before all transformations to avoid
       // dark fringing around bright pixels
@@ -577,7 +577,8 @@ class PipelineWorker : public Napi::AsyncWorker {
 
       // Sharpen
       if (shouldSharpen) {
-        image = sharp::Sharpen(image, baton->sharpenSigma, baton->sharpenFlat, baton->sharpenJagged);
+        image = sharp::Sharpen(image, baton->sharpenSigma, baton->sharpenM1, baton->sharpenM2,
+          baton->sharpenX1, baton->sharpenY2, baton->sharpenY3);
       }
 
       // Composite
@@ -1400,8 +1401,11 @@ Napi::Value pipeline(const Napi::CallbackInfo& info) {
   baton->lightness = sharp::AttrAsDouble(options, "lightness");
   baton->medianSize = sharp::AttrAsUint32(options, "medianSize");
   baton->sharpenSigma = sharp::AttrAsDouble(options, "sharpenSigma");
-  baton->sharpenFlat = sharp::AttrAsDouble(options, "sharpenFlat");
-  baton->sharpenJagged = sharp::AttrAsDouble(options, "sharpenJagged");
+  baton->sharpenM1 = sharp::AttrAsDouble(options, "sharpenM1");
+  baton->sharpenM2 = sharp::AttrAsDouble(options, "sharpenM2");
+  baton->sharpenX1 = sharp::AttrAsDouble(options, "sharpenX1");
+  baton->sharpenY2 = sharp::AttrAsDouble(options, "sharpenY2");
+  baton->sharpenY3 = sharp::AttrAsDouble(options, "sharpenY3");
   baton->threshold = sharp::AttrAsInt32(options, "threshold");
   baton->thresholdGrayscale = sharp::AttrAsBool(options, "thresholdGrayscale");
   baton->trimThreshold = sharp::AttrAsDouble(options, "trimThreshold");

src/pipeline.h

@@ -90,8 +90,11 @@ struct PipelineBaton {
   double lightness;
   int medianSize;
   double sharpenSigma;
-  double sharpenFlat;
-  double sharpenJagged;
+  double sharpenM1;
+  double sharpenM2;
+  double sharpenX1;
+  double sharpenY2;
+  double sharpenY3;
   int threshold;
   bool thresholdGrayscale;
   double trimThreshold;
@@ -234,8 +237,11 @@ struct PipelineBaton {
     lightness(0),
     medianSize(0),
     sharpenSigma(0.0),
-    sharpenFlat(1.0),
-    sharpenJagged(2.0),
+    sharpenM1(1.0),
+    sharpenM2(2.0),
+    sharpenX1(2.0),
+    sharpenY2(10.0),
+    sharpenY3(20.0),
     threshold(0),
     thresholdGrayscale(true),
     trimThreshold(0.0),

test/unit/extend.js

@@ -158,6 +158,6 @@ describe('Extend', function () {
       })
       .raw()
       .toBuffer();
-    assert.deepStrictEqual(Array.from(data), [191, 25, 65, 204, 238, 31, 82, 204]);
+    assert.deepStrictEqual(Array.from(data), [191, 25, 66, 204, 191, 25, 66, 204]);
   });
 });

test/unit/jp2.js

@@ -48,15 +48,8 @@ describe('JP2 output', () => {
             .resize(320, 240)
             .toBuffer(function (err, buffer80) {
               if (err) throw err;
-              sharp(fixtures.inputJp2)
-                .resize(320, 240)
-                .jp2({ quality: 90 })
-                .toBuffer(function (err, buffer90) {
-                  if (err) throw err;
-                  assert(buffer70.length < buffer80.length);
-                  assert(buffer80.length < buffer90.length);
-                  done();
-                });
+              assert(buffer70.length < buffer80.length);
+              done();
             });
         });
     });

test/unit/sharpen.js

@@ -45,6 +45,22 @@ describe('Sharpen', function () {
       });
   });
 
+  it('sigma=3.5, m1=2, m2=4', (done) => {
+    sharp(fixtures.inputJpg)
+      .resize(320, 240)
+      .sharpen({ sigma: 3.5, m1: 2, m2: 4 })
+      .toBuffer()
+      .then(data => fixtures.assertSimilar(fixtures.expected('sharpen-5-2-4.jpg'), data, done));
+  });
+
+  it('sigma=3.5, m1=2, m2=4, x1=2, y2=5, y3=25', (done) => {
+    sharp(fixtures.inputJpg)
+      .resize(320, 240)
+      .sharpen({ sigma: 3.5, m1: 2, m2: 4, x1: 2, y2: 5, y3: 25 })
+      .toBuffer()
+      .then(data => fixtures.assertSimilar(fixtures.expected('sharpen-5-2-4.jpg'), data, done));
+  });
+
   if (!process.env.SHARP_TEST_WITHOUT_CACHE) {
     it('specific radius/levels with alpha channel', function (done) {
       sharp(fixtures.inputPngWithTransparency)
@@ -92,6 +108,36 @@ describe('Sharpen', function () {
     });
   });
 
+  it('invalid options.sigma', () => assert.throws(
+    () => sharp().sharpen({ sigma: -1 }),
+    /Expected number between 0\.01 and 10000 for options\.sigma but received -1 of type number/
+  ));
+
+  it('invalid options.m1', () => assert.throws(
+    () => sharp().sharpen({ sigma: 1, m1: -1 }),
+    /Expected number between 0 and 10000 for options\.m1 but received -1 of type number/
+  ));
+
+  it('invalid options.m2', () => assert.throws(
+    () => sharp().sharpen({ sigma: 1, m2: -1 }),
+    /Expected number between 0 and 10000 for options\.m2 but received -1 of type number/
+  ));
+
+  it('invalid options.x1', () => assert.throws(
+    () => sharp().sharpen({ sigma: 1, x1: -1 }),
+    /Expected number between 0 and 10000 for options\.x1 but received -1 of type number/
+  ));
+
+  it('invalid options.y2', () => assert.throws(
+    () => sharp().sharpen({ sigma: 1, y2: -1 }),
+    /Expected number between 0 and 10000 for options\.y2 but received -1 of type number/
+  ));
+
+  it('invalid options.y3', () => assert.throws(
+    () => sharp().sharpen({ sigma: 1, y3: -1 }),
+    /Expected number between 0 and 10000 for options\.y3 but received -1 of type number/
+  ));
+
   it('sharpened image is larger than non-sharpened', function (done) {
     sharp(fixtures.inputJpg)
       .resize(320, 240)

test/unit/util.js

@@ -68,10 +68,13 @@ describe('Utilities', function () {
   });
 
   describe('Counters', function () {
-    it('Have zero value at rest', function () {
-      const counters = sharp.counters();
-      assert.strictEqual(0, counters.queue);
-      assert.strictEqual(0, counters.process);
+    it('Have zero value at rest', (done) => {
+      queueMicrotask(() => {
+        const counters = sharp.counters();
+        assert.strictEqual(0, counters.queue);
+        assert.strictEqual(0, counters.process);
+        done();
+      });
     });
   });