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feat: add blur precision
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marcosc90 committed Jul 19, 2024
1 parent 10c6f47 commit 79ff825
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Showing 10 changed files with 103 additions and 15 deletions.
10 changes: 6 additions & 4 deletions docs/api-operation.md
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Expand Up @@ -231,7 +231,7 @@ const output = await sharp(input).median(5).toBuffer();


## blur
> blur([sigma]) ⇒ <code>Sharp</code>
> blur([options]) ⇒ <code>Sharp</code>
Blur the image.

Expand All @@ -245,9 +245,11 @@ When a `sigma` is provided, performs a slower, more accurate Gaussian blur.
- <code>Error</code> Invalid parameters


| Param | Type | Description |
| --- | --- | --- |
| [sigma] | <code>number</code> | a value between 0.3 and 1000 representing the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`. |
| Param | Type | Default | Description |
| --- | --- | --- | --- |
| [options] | <code>Object</code> \| <code>number</code> \| <code>Boolean</code> | | |
| [options.sigma] | <code>number</code> | | a value between 0.3 and 1000 representing the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`. |
| [options.precision] | <code>string</code> | <code>&quot;&#x27;integer&#x27;&quot;</code> | How accurate the operation should be, one of: integer, float, approximate. |

**Example**
```js
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2 changes: 1 addition & 1 deletion docs/search-index.json

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1 change: 1 addition & 0 deletions lib/constructor.js
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Expand Up @@ -226,6 +226,7 @@ const Sharp = function (input, options) {
negateAlpha: true,
medianSize: 0,
blurSigma: 0,
precision: 'integer',
sharpenSigma: 0,
sharpenM1: 1,
sharpenM2: 2,
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11 changes: 10 additions & 1 deletion lib/index.d.ts
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Expand Up @@ -464,7 +464,7 @@ declare namespace sharp {
* @throws {Error} Invalid parameters
* @returns A sharp instance that can be used to chain operations
*/
blur(sigma?: number | boolean): Sharp;
blur(sigma?: number | boolean | BlurOptions): Sharp;

/**
* Merge alpha transparency channel, if any, with background.
Expand Down Expand Up @@ -1342,6 +1342,15 @@ declare namespace sharp {
background?: Color | undefined;
}

type Precision = 'integer' | 'float' | 'approximate';

interface BlurOptions {
/** A value between 0.3 and 1000 representing the sigma of the Gaussian mask, where `sigma = 1 + radius / 2` */
sigma: number;
/** How accurate the operation should be, one of: integer, float, approximate. (optional, default "integer") */
precision?: Precision | undefined;
}

interface FlattenOptions {
/** background colour, parsed by the color module, defaults to black. (optional, default {r:0,g:0,b:0}) */
background?: Color | undefined;
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41 changes: 36 additions & 5 deletions lib/operation.js
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Expand Up @@ -6,6 +6,17 @@
const color = require('color');
const is = require('./is');

/**
* How accurate an operation should be.
* @member
* @private
*/
const vipsPrecision = {
integer: 'integer',
float: 'float',
approximate: 'approximate'
};

/**
* Rotate the output image by either an explicit angle
* or auto-orient based on the EXIF `Orientation` tag.
Expand Down Expand Up @@ -367,23 +378,43 @@ function median (size) {
* .blur(5)
* .toBuffer();
*
* @param {number} [sigma] a value between 0.3 and 1000 representing the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`.
* @param {Object|number|Boolean} [options]
* @param {number} [options.sigma] a value between 0.3 and 1000 representing the sigma of the Gaussian mask, where `sigma = 1 + radius / 2`.
* @param {string} [options.precision='integer'] How accurate the operation should be, one of: integer, float, approximate.
* @returns {Sharp}
* @throws {Error} Invalid parameters
*/
function blur (sigma) {
if (!is.defined(sigma)) {
function blur (options) {
let sigma;
if (is.number(options)) {
sigma = options;
} else if (is.plainObject(options)) {
if (!is.number(options.sigma)) {
throw is.invalidParameterError('options.sigma', 'number between 0.3 and 1000', sigma);
}
sigma = options.sigma;
if ('precision' in options) {
if (is.string(vipsPrecision[options.precision])) {
this.options.precision = vipsPrecision[options.precision];
} else {
throw is.invalidParameterError('precision', 'one of: integer, float, approximate', options.precision);
}
}
}

if (!is.defined(options)) {
// No arguments: default to mild blur
this.options.blurSigma = -1;
} else if (is.bool(sigma)) {
} else if (is.bool(options)) {
// Boolean argument: apply mild blur?
this.options.blurSigma = sigma ? -1 : 0;
this.options.blurSigma = options ? -1 : 0;
} else if (is.number(sigma) && is.inRange(sigma, 0.3, 1000)) {
// Numeric argument: specific sigma
this.options.blurSigma = sigma;
} else {
throw is.invalidParameterError('sigma', 'number between 0.3 and 1000', sigma);
}

return this;
}

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5 changes: 3 additions & 2 deletions src/operations.cc
Original file line number Diff line number Diff line change
Expand Up @@ -144,7 +144,7 @@ namespace sharp {
/*
* Gaussian blur. Use sigma of -1.0 for fast blur.
*/
VImage Blur(VImage image, double const sigma) {
VImage Blur(VImage image, double const sigma, VipsPrecision precision) {
if (sigma == -1.0) {
// Fast, mild blur - averages neighbouring pixels
VImage blur = VImage::new_matrixv(3, 3,
Expand All @@ -155,7 +155,8 @@ namespace sharp {
return image.conv(blur);
} else {
// Slower, accurate Gaussian blur
return StaySequential(image).gaussblur(sigma);
return StaySequential(image).gaussblur(sigma, VImage::option()
->set("precision", precision));
}
}

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2 changes: 1 addition & 1 deletion src/operations.h
Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ namespace sharp {
/*
* Gaussian blur. Use sigma of -1.0 for fast blur.
*/
VImage Blur(VImage image, double const sigma);
VImage Blur(VImage image, double const sigma, VipsPrecision precision);

/*
* Convolution with a kernel.
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3 changes: 2 additions & 1 deletion src/pipeline.cc
Original file line number Diff line number Diff line change
Expand Up @@ -592,7 +592,7 @@ class PipelineWorker : public Napi::AsyncWorker {

// Blur
if (shouldBlur) {
image = sharp::Blur(image, baton->blurSigma);
image = sharp::Blur(image, baton->blurSigma, baton->precision);
}

// Unflatten the image
Expand Down Expand Up @@ -1541,6 +1541,7 @@ Napi::Value pipeline(const Napi::CallbackInfo& info) {
baton->negate = sharp::AttrAsBool(options, "negate");
baton->negateAlpha = sharp::AttrAsBool(options, "negateAlpha");
baton->blurSigma = sharp::AttrAsDouble(options, "blurSigma");
baton->precision = sharp::AttrAsEnum<VipsPrecision>(options, "precision", VIPS_TYPE_PRECISION);
baton->brightness = sharp::AttrAsDouble(options, "brightness");
baton->saturation = sharp::AttrAsDouble(options, "saturation");
baton->hue = sharp::AttrAsInt32(options, "hue");
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1 change: 1 addition & 0 deletions src/pipeline.h
Original file line number Diff line number Diff line change
Expand Up @@ -78,6 +78,7 @@ struct PipelineBaton {
bool negate;
bool negateAlpha;
double blurSigma;
VipsPrecision precision;
double brightness;
double saturation;
int hue;
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42 changes: 42 additions & 0 deletions test/unit/blur.js
Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,19 @@ describe('Blur', function () {
});
});

it('specific options.sigma 10', function (done) {
sharp(fixtures.inputJpg)
.resize(320, 240)
.blur({ sigma: 10 })
.toBuffer(function (err, data, info) {
if (err) throw err;
assert.strictEqual('jpeg', info.format);
assert.strictEqual(320, info.width);
assert.strictEqual(240, info.height);
fixtures.assertSimilar(fixtures.expected('blur-10.jpg'), data, done);
});
});

it('specific radius 0.3', function (done) {
sharp(fixtures.inputJpg)
.resize(320, 240)
Expand Down Expand Up @@ -91,4 +104,33 @@ describe('Blur', function () {
});
});
});

it('invalid precision', function () {
assert.throws(function () {
sharp(fixtures.inputJpg).blur({ sigma: 1, precision: 'invalid' });
});
});

it('specific radius 10 and precision approximate', async () => {
const approximate = await sharp(fixtures.inputJpg)
.resize(320, 240)
.blur({ sigma: 10, precision: 'approximate' })
.toBuffer();
const integer = await await sharp(fixtures.inputJpg)
.resize(320, 240)
.blur(10)
.toBuffer();

assert.notDeepEqual(approximate, integer);

await new Promise(resolve => {
fixtures.assertSimilar(fixtures.expected('blur-10.jpg'), approximate, resolve);
});
});

it('options.sigma is required if options object is passed', function () {
assert.throws(function () {
sharp(fixtures.inputJpg).blur({ precision: 'invalid' });
});
});
});

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