resample

resample — resample images in various ways

Stability Level

Stable, unless otherwise indicated

Functions

int vips_shrink ()
int vips_shrinkh ()
int vips_shrinkv ()
int vips_reduce ()
int vips_reduceh ()
int vips_reducev ()
int vips_similarity ()
int vips_affine ()
int vips_resize ()
int vips_mapim ()
int vips_quadratic ()

Types and Values

enum VipsKernel

Includes

#include <vips/vips.h>

Description

There are three types of operation in this section.

First, vips_affine() applies an affine transform to an image. This is any sort of 2D transform which preserves straight lines; so any combination of stretch, sheer, rotate and translate. You supply an interpolator for it to use to generate pixels, see vips_interpolate_new(). It will not produce good results for very large shrinks.

Next, vips_resize() specialises in the common task of image reduce and enlarge. It strings together combinations of vips_shrink(), vips_reduce(), vips_affine() and others to implement a general, high-quality image resizer.

Finally, vips_mapim() can apply arbitrary 2D image transforms to an image.

Functions

vips_shrink ()

int
vips_shrink (VipsImage *in,
             VipsImage **out,
             double xshrink,
             double yshrink,
             ...);

Shrink in by a pair of factors with a simple box filter. For non-integer factors, vips_shrink() will first shrink by the integer part with a box filter, then use vips_affine() plus bilinear interpolation to shrink by the remaining fractional part.

This is a very low-level operation: see vips_resize() for a more convenient way to resize images.

This operation does not change xres or yres. The image resolution needs to be updated by the application.

See also: vips_resize(), vips_affine().

Parameters

in

input image

 

out

output image

 

xshrink

horizontal shrink

 

yshrink

vertical shrink

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_shrinkh ()

int
vips_shrinkh (VipsImage *in,
              VipsImage **out,
              int xshrink,
              ...);

Shrink in horizontally by an integer factor. Each pixel in the output is the average of the corresponding line of xshrink pixels in the input.

This is a very low-level operation: see vips_resize() for a more convenient way to resize images.

This operation does not change xres or yres. The image resolution needs to be updated by the application.

See also: vips_shrinkv(), vips_shrink(), vips_resize(), vips_affine().

Parameters

in

input image

 

out

output image

 

xshrink

horizontal shrink

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_shrinkv ()

int
vips_shrinkv (VipsImage *in,
              VipsImage **out,
              int yshrink,
              ...);

Shrink in vertically by an integer factor. Each pixel in the output is the average of the corresponding column of yshrink pixels in the input.

You will get aliasing for non-integer shrinks. In this case, shrink with this function to the nearest integer size above the target shrink, then downsample to the exact size with vips_affine() and your choice of interpolator. See vips_resize() for a convenient way to do this.

This operation does not change xres or yres. The image resolution needs to be updated by the application.

See also: vips_shrinkh(), vips_shrink(), vips_resize(), vips_affine().

Parameters

in

input image

 

out

output image

 

yshrink

vertical shrink

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_reduce ()

int
vips_reduce (VipsImage *in,
             VipsImage **out,
             double xshrink,
             double yshrink,
             ...);

Optional arguments:

kernel : VipsKernel to use to interpolate (default: lanczos3)

Reduce in by a pair of factors with a pair of 1D interpolators. This will not work well for shrink factors greater than two.

This is a very low-level operation: see vips_resize() for a more convenient way to resize images.

This operation does not change xres or yres. The image resolution needs to be updated by the application.

See also: vips_resize(), vips_affine().

Parameters

in

input image

 

out

output image

 

xshrink

horizontal shrink

 

shrinke

vertical shrink

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_reduceh ()

int
vips_reduceh (VipsImage *in,
              VipsImage **out,
              double xshrink,
              ...);

vips_reducev ()

int
vips_reducev (VipsImage *in,
              VipsImage **out,
              double yshrink,
              ...);

vips_similarity ()

int
vips_similarity (VipsImage *in,
                 VipsImage **out,
                 ...);

Optional arguments:

scale : scale by this factor angle : rotate by this many degrees anticlockwise interpolate : interpolate pixels with this idx : input horizontal offset idy : input vertical offset odx : output horizontal offset ody : output vertical offset

This operator calls vips_affine() for you, calculating the matrix for the affine transform from scale and angle . Other parameters are passed on to vips_affine() unaltered.

See also: vips_affine(), VipsInterpolate.

Parameters

in

input image

 

out

output image

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_affine ()

int
vips_affine (VipsImage *in,
             VipsImage **out,
             double a,
             double b,
             double c,
             double d,
             ...);

Optional arguments:

interpolate : interpolate pixels with this oarea : output rectangle idx : input horizontal offset idy : input vertical offset odx : output horizontal offset ody : output vertical offset

This operator performs an affine transform on an image using interpolate .

The transform is:

X = a * (x + idx ) + b * (y + idy ) + odx Y = c * (x + idx ) + d * (y + idy ) + doy

x and y are the coordinates in input image. X and Y are the coordinates in output image. (0,0) is the upper left corner.

The section of the output space defined by oarea is written to out . oarea is a four-element int array of left, top, width, height. By default oarea is just large enough to cover the whole of the transformed input image.

interpolate defaults to bilinear.

idx , idy , odx , ody default to zero.

This operation does not change xres or yres. The image resolution needs to be updated by the application.

See also: vips_shrink(), vips_resize(), VipsInterpolate.

Parameters

in

input image

 

out

output image

 

a

transformation matrix coefficient

 

b

transformation matrix coefficient

 

c

transformation matrix coefficient

 

d

transformation matrix coefficient

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_resize ()

int
vips_resize (VipsImage *in,
             VipsImage **out,
             double scale,
             ...);

Optional arguments:

vscale : vertical scale factor

Resize an image. When upsizing (scale > 1), the image is simply block upsized. When downsizing, the image is block-shrunk with vips_shrink(), then an anti-alias blur is applied with vips_gaussblur(), then the image is shrunk again to the target size with vips_reduce().

vips_resize() normally maintains the image apect ratio. If you set vscale , that factor is used for the vertical scale and scale for the horizontal.

This operation does not change xres or yres. The image resolution needs to be updated by the application.

See also: vips_shrink(), vips_reduce(), vips_gaussblur().

Parameters

in

input image

 

out

output image

 

scale

scale factor

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_mapim ()

int
vips_mapim (VipsImage *in,
            VipsImage **out,
            VipsImage *index,
            ...);

Optional arguments:

interpolate : interpolate pixels with this

This operator resamples in using index to look up pixels. out is the same size as index , with each pixel being fetched from that position in in . That is:

1
out[x, y] = in[index[x, y]]

If index has one band, that band must be complex. Otherwise, index must have two bands of any format. Coordinates in index are in pixels, with (0, 0) being the top-left corner of in , and with y increasing down the image. Use vips_xyz() to build index images.

interpolate defaults to bilinear.

This operation does not change xres or yres. The image resolution needs to be updated by the application.

See vips_maplut() for a 1D equivalent of this operation.

See also: vips_xyz(), vips_affine(), vips_resize(), vips_maplut(), VipsInterpolate.

Parameters

in

input image

 

out

output image

 

index

index image

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error


vips_quadratic ()

int
vips_quadratic (VipsImage *in,
                VipsImage **out,
                VipsImage *coeff,
                ...);

Optional arguments:

interpolate : use this interpolator (default bilinear)

This operation is unfinished and unusable, sorry.

See also: vips_affine().

Parameters

in

input image

 

out

output image

 

coeff

horizontal quadratic

 

...

NULL-terminated list of optional named arguments

 

Returns

0 on success, -1 on error

Types and Values

enum VipsKernel

Members

VIPS_KERNEL_NEAREST

   

VIPS_KERNEL_LINEAR

   

VIPS_KERNEL_CUBIC

   

VIPS_KERNEL_LANCZOS2

   

VIPS_KERNEL_LANCZOS3

   

VIPS_KERNEL_LAST