Create

Create new images from scratch.

Function Mapping

libvips C	Dart Binding	Description
`vips_black()`	`createBindings.black()`	Create black image
`vips_xyz()`	`createBindings.xyz()`	Create coordinate image
`vips_grey()`	`createBindings.grey()`	Create grey ramp
`vips_gaussnoise()`	`createBindings.gaussnoise()`	Gaussian noise
`vips_text()`	`createBindings.text()`	Render text
`vips_gaussmat()`	`createBindings.gaussmat()`	Gaussian kernel
`vips_logmat()`	`createBindings.logmat()`	LoG kernel
`vips_identity()`	`createBindings.identity()`	Identity LUT
`vips_buildlut()`	`createBindings.buildlut()`	Build LUT
`vips_invertlut()`	`createBindings.invertlut()`	Invert LUT
`vips_tonelut()`	`createBindings.tonelut()`	Tone curve LUT
`vips_mask_ideal()`	`createBindings.maskIdeal()`	Ideal filter mask
`vips_mask_gaussian()`	`createBindings.maskGaussian()`	Gaussian filter mask
`vips_mask_butterworth()`	`createBindings.maskButterworth()`	Butterworth filter
`vips_sines()`	`createBindings.sines()`	Sine wave image
`vips_zone()`	`createBindings.zone()`	Zone plate
`vips_eye()`	`createBindings.eye()`	Eye pattern
`vips_perlin()`	`createBindings.perlin()`	Perlin noise
`vips_worley()`	`createBindings.worley()`	Worley noise
`vips_fractsurf()`	`createBindings.fractsurf()`	Fractal surface

Create a black image of given dimensions.

// Create 800x600 black image with 3 bands (RGB)
final image = createBindings.black(800, 600, bands: 3);

Create an image where pixel values equal coordinates.

// Create coordinate image
final coords = createBindings.xyz(width, height);

Create image filled with Gaussian noise.

final noise = createBindings.gaussnoise(width, height, mean: 128, sigma: 30);

Render text to an image.

final textImage = createBindings.text(
  'Hello World',
  font: 'sans 48',
  width: 400,
  dpi: 72,
);

Create a Gaussian convolution kernel.

// Create Gaussian kernel with sigma=1.5
final kernel = createBindings.gaussmat(1.5, 0.2);

Create Perlin noise image.

final perlin = createBindings.perlin(width, height, cellSize: 256);

Create Worley (cellular) noise image.

final worley = createBindings.worley(width, height, cellSize: 256);