Add support for bicubic and Nohalo interpolation #41

This commit is contained in:
Lovell Fuller 2014-06-08 20:46:03 +01:00
parent f0a9d82bf7
commit 4eb910fec9
5 changed files with 110 additions and 6 deletions

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@ -53,7 +53,7 @@ Compiling from source is recommended:
cd libvips
git checkout 7.38
./bootstrap.sh
./configure --enable-debug=no --enable-cxx=no --without-python --without-orc
./configure --enable-debug=no --enable-cxx=yes --without-python --without-orc
make
sudo make install
sudo ldconfig
@ -100,8 +100,8 @@ sharp('input.png').rotate(180).resize(300).sharpen().quality(90).webp().then(fun
```
```javascript
sharp(inputBuffer).resize(200, 300).embedWhite().toFile('output.tiff').then(function() {
// output.tiff is a 200 pixels wide and 300 pixels high image containing a scaled
sharp(inputBuffer).resize(200, 300).bicubicInterpolation().embedWhite().toFile('output.tiff').then(function() {
// output.tiff is a 200 pixels wide and 300 pixels high image containing a bicubic scaled
// version, embedded on a white canvas, of the image data in buffer
});
```
@ -176,6 +176,18 @@ This is equivalent to GraphicsMagick's `>` geometry option: "change the dimensio
Perform a mild sharpen of the resultant image. This typically reduces performance by 30%.
### bilinearInterpolation()
Use [bilinear interpolation](http://en.wikipedia.org/wiki/Bilinear_interpolation) for image resizing, the default (and fastest) interpolation if none is specified.
### bicubicInterpolation()
Use [bicubic interpolation](http://en.wikipedia.org/wiki/Bicubic_interpolation) for image resizing. This typically reduces performance by 5%.
### nohaloInterpolation()
Use [Nohalo interpolation](http://eprints.soton.ac.uk/268086/) for image resizing. This typically reduces performance by a factor of 2.
### progressive()
Use progressive (interlace) scan for JPEG and PNG output. This typically reduces compression performance by 30% but results in an image that can be rendered sooner when decompressed.

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@ -16,6 +16,7 @@ var Sharp = function(input) {
angle: 0,
withoutEnlargement: false,
sharpen: false,
interpolator: 'bilinear',
progressive: false,
sequentialRead: false,
quality: 80,
@ -87,6 +88,30 @@ Sharp.prototype.sharpen = function(sharpen) {
return this;
};
/*
Use bilinear interpolation for the affine transformation (fastest, default)
*/
Sharp.prototype.bilinearInterpolation = function() {
this.options.interpolator = 'bilinear';
return this;
};
/*
Use bicubic interpolation for the affine transformation
*/
Sharp.prototype.bicubicInterpolation = function() {
this.options.interpolator = 'bicubic';
return this;
};
/*
Use Nohalo interpolation for the affine transformation
*/
Sharp.prototype.nohaloInterpolation = function() {
this.options.interpolator = 'nohalo';
return this;
};
Sharp.prototype.progressive = function(progressive) {
this.options.progressive = (typeof progressive === 'boolean') ? progressive : true;
return this;

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@ -23,6 +23,7 @@ struct resize_baton {
bool max;
VipsExtend extend;
bool sharpen;
std::string interpolator;
bool progressive;
bool without_enlargement;
VipsAccess access_method;
@ -294,12 +295,17 @@ class ResizeWorker : public NanAsyncWorker {
}
g_object_unref(shrunk_on_load);
// Use vips_affine with the remaining float part using bilinear interpolation
// Use vips_affine with the remaining float part
VipsImage *affined = vips_image_new();
if (residual != 0) {
if (vips_affine(shrunk, &affined, residual, 0, 0, residual, "interpolate", vips_interpolate_bilinear_static(), NULL)) {
// Create interpolator - "bilinear" (default), "bicubic" or "nohalo"
VipsInterpolate *interpolator = vips_interpolate_new(baton->interpolator.c_str());
// Perform affine transformation
if (vips_affine(shrunk, &affined, residual, 0, 0, residual, "interpolate", interpolator, NULL)) {
g_object_unref(interpolator);
return resize_error(baton, shrunk);
}
g_object_unref(interpolator);
} else {
vips_copy(shrunk, &affined, NULL);
}
@ -461,6 +467,7 @@ NAN_METHOD(resize) {
}
// Other options
baton->sharpen = options->Get(NanNew<String>("sharpen"))->BooleanValue();
baton->interpolator = *String::Utf8Value(options->Get(NanNew<String>("interpolator"))->ToString());
baton->progressive = options->Get(NanNew<String>("progressive"))->BooleanValue();
baton->without_enlargement = options->Get(NanNew<String>("withoutEnlargement"))->BooleanValue();
baton->access_method = options->Get(NanNew<String>("sequentialRead"))->BooleanValue() ? VIPS_ACCESS_SEQUENTIAL : VIPS_ACCESS_RANDOM;

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@ -166,6 +166,30 @@ async.series({
}
});
}
}).add("sharp-file-buffer-bicubic", {
defer: true,
fn: function(deferred) {
sharp(inputJpg).resize(width, height).bicubicInterpolation().toBuffer(function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-nohalo", {
defer: true,
fn: function(deferred) {
sharp(inputJpg).resize(width, height).nohaloInterpolation().toBuffer(function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("sharp-file-buffer-progressive", {
defer: true,
fn: function(deferred) {

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@ -268,5 +268,41 @@ async.series([
sharp(inputTiff).webp().then(function() {
done();
});
}
},
// Interpolation: bilinear
function(done) {
sharp(inputJpg).resize(320, 240).bilinearInterpolation().toFile(outputJpg, function(err) {
if (err) throw err;
imagemagick.identify(outputJpg, function(err, features) {
if (err) throw err;
assert.strictEqual(320, features.width);
assert.strictEqual(240, features.height);
done();
});
});
},
// Interpolation: bicubic
function(done) {
sharp(inputJpg).resize(320, 240).bicubicInterpolation().toFile(outputJpg, function(err) {
if (err) throw err;
imagemagick.identify(outputJpg, function(err, features) {
if (err) throw err;
assert.strictEqual(320, features.width);
assert.strictEqual(240, features.height);
done();
});
});
},
// Interpolation: nohalo
function(done) {
sharp(inputJpg).resize(320, 240).nohaloInterpolation().toFile(outputJpg, function(err) {
if (err) throw err;
imagemagick.identify(outputJpg, function(err, features) {
if (err) throw err;
assert.strictEqual(320, features.width);
assert.strictEqual(240, features.height);
done();
});
});
},
]);