8.2 KiB
rotate
Rotate the output image by either an explicit angle
or auto-orient based on the EXIF Orientation
tag.
If an angle is provided, it is converted to a valid positive degree rotation.
For example, -450
will produce a 270deg rotation.
When rotating by an angle other than a multiple of 90,
the background colour can be provided with the background
option.
If no angle is provided, it is determined from the EXIF data. Mirroring is supported and may infer the use of a flip operation.
The use of rotate
implies the removal of the EXIF Orientation
tag, if any.
Method order is important when both rotating and extracting regions,
for example rotate(x).extract(y)
will produce a different result to extract(y).rotate(x)
.
Parameters
angle
Number angle of rotation. (optional, defaultauto
)options
Object? if present, is an Object with optional attributes.
Examples
const pipeline = sharp()
.rotate()
.resize(null, 200)
.toBuffer(function (err, outputBuffer, info) {
// outputBuffer contains 200px high JPEG image data,
// auto-rotated using EXIF Orientation tag
// info.width and info.height contain the dimensions of the resized image
});
readableStream.pipe(pipeline);
- Throws Error Invalid parameters
Returns Sharp
flip
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.
Parameters
flip
Boolean (optional, defaulttrue
)
Returns Sharp
flop
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.
Parameters
flop
Boolean (optional, defaulttrue
)
Returns Sharp
sharpen
Sharpen the image.
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.
Parameters
-
sigma
Number? the sigma of the Gaussian mask, wheresigma = 1 + radius / 2
. -
flat
Number the level of sharpening to apply to "flat" areas. (optional, default1.0
) -
jagged
Number the level of sharpening to apply to "jagged" areas. (optional, default2.0
) -
Throws Error Invalid parameters
Returns Sharp
median
Apply median filter. When used without parameters the default window is 3x3.
Parameters
Returns Sharp
blur
Blur the image.
When used without parameters, performs a fast, mild blur of the output image.
When a sigma
is provided, performs a slower, more accurate Gaussian blur.
Parameters
-
sigma
Number? a value between 0.3 and 1000 representing the sigma of the Gaussian mask, wheresigma = 1 + radius / 2
. -
Throws Error Invalid parameters
Returns Sharp
flatten
Merge alpha transparency channel, if any, with a background.
Parameters
options
Object?
Returns Sharp
gamma
Apply a gamma correction by reducing the encoding (darken) pre-resize at a factor of 1/gamma
then increasing the encoding (brighten) post-resize at a factor of gamma
.
This can improve the perceived brightness of a resized image in non-linear colour spaces.
JPEG and WebP input images will not take advantage of the shrink-on-load performance optimisation
when applying a gamma correction.
Supply a second argument to use a different output gamma value, otherwise the first value is used in both cases.
Parameters
-
gamma
Number value between 1.0 and 3.0. (optional, default2.2
) -
gammaOut
Number? value between 1.0 and 3.0. (optional, defaults to same asgamma
) -
Throws Error Invalid parameters
Returns Sharp
negate
Produce the "negative" of the image.
Parameters
negate
Boolean (optional, defaulttrue
)
Returns Sharp
normalise
Enhance output image contrast by stretching its luminance to cover the full dynamic range.
Parameters
normalise
Boolean (optional, defaulttrue
)
Returns Sharp
normalize
Alternative spelling of normalise.
Parameters
normalize
Boolean (optional, defaulttrue
)
Returns Sharp
convolve
Convolve the image with the specified kernel.
Parameters
kernel
Objectkernel.width
Number width of the kernel in pixels.kernel.height
Number width of the kernel in pixels.kernel.kernel
Array<Number> Array of lengthwidth*height
containing the kernel values.kernel.scale
Number the scale of the kernel in pixels. (optional, defaultsum
)kernel.offset
Number the offset of the kernel in pixels. (optional, default0
)
Examples
sharp(input)
.convolve({
width: 3,
height: 3,
kernel: [-1, 0, 1, -2, 0, 2, -1, 0, 1]
})
.raw()
.toBuffer(function(err, data, info) {
// data contains the raw pixel data representing the convolution
// of the input image with the horizontal Sobel operator
});
- Throws Error Invalid parameters
Returns Sharp
threshold
Any pixel value greather than or equal to the threshold value will be set to 255, otherwise it will be set to 0.
Parameters
-
threshold
Number a value in the range 0-255 representing the level at which the threshold will be applied. (optional, default128
) -
options
Object? -
Throws Error Invalid parameters
Returns Sharp
boolean
Perform a bitwise boolean operation with operand image.
This operation creates an output image where each pixel is the result of
the selected bitwise boolean operation
between the corresponding pixels of the input images.
Parameters
-
operand
(Buffer | String) Buffer containing image data or String containing the path to an image file. -
operator
String one ofand
,or
oreor
to perform that bitwise operation, like the C logic operators&
,|
and^
respectively. -
options
Object? -
Throws Error Invalid parameters
Returns Sharp
linear
Apply the linear formula a * input + b to the image (levels adjustment)
Parameters
-
a
Number multiplier (optional, default1.0
) -
b
Number offset (optional, default0.0
) -
Throws Error Invalid parameters
Returns Sharp