AdaptiveBlurImage • AdaptiveSharpenImage • BlurImage • ConvolveImage • DespeckleImage • EdgeImage • EmbossImage • FilterImage • GaussianBlurImage • MotionBlurImage • KuwaharaImage • PreviewImage • RotationalBlurImage • SelectiveBlurImage • ShadeImage • SharpenImage • SpreadImage • UnsharpMaskImage

## AdaptiveBlurImage

AdaptiveBlurImage() adaptively blurs the image by blurring less intensely near image edges and more intensely far from edges. We blur the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and AdaptiveBlurImage() selects a suitable radius for you.

The format of the AdaptiveBlurImage method is:

    Image *AdaptiveBlurImage(const Image *image,const double radius,
      const double sigma,ExceptionInfo *exception)
    Image *AdaptiveBlurImageChannel(const Image *image,
      const ChannelType channel,double radius,const double sigma,
      ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Laplacian, in pixels.
exception
  return any errors or warnings in this structure.

## AdaptiveSharpenImage

AdaptiveSharpenImage() adaptively sharpens the image by sharpening more intensely near image edges and less intensely far from edges. We sharpen the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and AdaptiveSharpenImage() selects a suitable radius for you.

The format of the AdaptiveSharpenImage method is:

    Image *AdaptiveSharpenImage(const Image *image,const double radius,
      const double sigma,ExceptionInfo *exception)
    Image *AdaptiveSharpenImageChannel(const Image *image,
      const ChannelType channel,double radius,const double sigma,
      ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Laplacian, in pixels.
exception
  return any errors or warnings in this structure.

## BlurImage

BlurImage() blurs an image. We convolve the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, the radius should be larger than sigma. Use a radius of 0 and BlurImage() selects a suitable radius for you.

The format of the BlurImage method is:

    Image *BlurImage(const Image *image,const double radius,
      const double sigma,ExceptionInfo *exception)
    Image *BlurImageChannel(const Image *image,const ChannelType channel,
      const double radius,const double sigma,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Gaussian, in pixels.
exception
  return any errors or warnings in this structure.

## ConvolveImage

ConvolveImage() applies a custom convolution kernel to the image.

The format of the ConvolveImage method is:

    Image *ConvolveImage(const Image *image,const size_t order,
      const double *kernel,ExceptionInfo *exception)
    Image *ConvolveImageChannel(const Image *image,const ChannelType channel,
      const size_t order,const double *kernel,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
order
  the number of columns and rows in the filter kernel.
kernel
  An array of double representing the convolution kernel.
exception
  return any errors or warnings in this structure.

## DespeckleImage

DespeckleImage() reduces the speckle noise in an image while perserving the edges of the original image. A speckle removing filter uses a complementary hulling technique (raising pixels that are darker than their surrounding neighbors, then complementarily lowering pixels that are brighter than their surrounding neighbors) to reduce the speckle index of that image (reference Crimmins speckle removal).

The format of the DespeckleImage method is:

    Image *DespeckleImage(const Image *image,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
exception
  return any errors or warnings in this structure.

## EdgeImage

EdgeImage() finds edges in an image. Radius defines the radius of the convolution filter. Use a radius of 0 and EdgeImage() selects a suitable radius for you.

The format of the EdgeImage method is:

    Image *EdgeImage(const Image *image,const double radius,
      ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
radius
  the radius of the pixel neighborhood.
exception
  return any errors or warnings in this structure.

## EmbossImage

EmbossImage() returns a grayscale image with a three-dimensional effect. We convolve the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and Emboss() selects a suitable radius for you.

The format of the EmbossImage method is:

    Image *EmbossImage(const Image *image,const double radius,
      const double sigma,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
radius
  the radius of the pixel neighborhood.
sigma
  the standard deviation of the Gaussian, in pixels.
exception
  return any errors or warnings in this structure.

## FilterImage

FilterImage() applies a custom convolution kernel to the image.

The format of the FilterImage method is:

    Image *FilterImage(const Image *image,const KernelInfo *kernel,
      ExceptionInfo *exception)
    Image *FilterImageChannel(const Image *image,const ChannelType channel,
      const KernelInfo *kernel,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
kernel
  the filtering kernel.
exception
  return any errors or warnings in this structure.

## GaussianBlurImage

GaussianBlurImage() blurs an image. We convolve the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, the radius should be larger than sigma. Use a radius of 0 and GaussianBlurImage() selects a suitable radius for you

The format of the GaussianBlurImage method is:

    Image *GaussianBlurImage(const Image *image,onst double radius,
      const double sigma,ExceptionInfo *exception)
    Image *GaussianBlurImageChannel(const Image *image,
      const ChannelType channel,const double radius,const double sigma,
      ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Gaussian, in pixels.
exception
  return any errors or warnings in this structure.

## MotionBlurImage

MotionBlurImage() simulates motion blur. We convolve the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and MotionBlurImage() selects a suitable radius for you. Angle gives the angle of the blurring motion.

Andrew Protano contributed this effect.

The format of the MotionBlurImage method is:

        Image *MotionBlurImage(const Image *image,const double radius,
    const double sigma,const double angle,ExceptionInfo *exception)
        Image *MotionBlurImageChannel(const Image *image,const ChannelType channel,
    const double radius,const double sigma,const double angle,
    ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Gaussian, in pixels.
angle
  Apply the effect along this angle.
exception
  return any errors or warnings in this structure.

## KuwaharaImage

KuwaharaImage() is an edge preserving noise reduction filter.

The format of the KuwaharaImage method is:

    Image *KuwaharaImage(const Image *image,const double width,
      const double sigma,ExceptionInfo *exception)
    Image *KuwaharaImageChannel(const Image *image,const ChannelType channel,
      const double width,const double sigma,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the square window radius.
sigma
  the standard deviation of the Gaussian, in pixels.
exception
  return any errors or warnings in this structure.

## PreviewImage

PreviewImage() tiles 9 thumbnails of the specified image with an image processing operation applied with varying parameters. This may be helpful pin-pointing an appropriate parameter for a particular image processing operation.

The format of the PreviewImages method is:

    Image *PreviewImages(const Image *image,const PreviewType preview,
      ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
preview
  the image processing operation.
exception
  return any errors or warnings in this structure.

## RotationalBlurImage

RotationalBlurImage() applies a rotational blur to the image.

Andrew Protano contributed this effect.

The format of the RotationalBlurImage method is:

        Image *RotationalBlurImage(const Image *image,const double angle,
    ExceptionInfo *exception)
        Image *RotationalBlurImageChannel(const Image *image,
    const ChannelType channel,const double angle,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
angle
  the angle of the rotational blur.
exception
  return any errors or warnings in this structure.

## SelectiveBlurImage

SelectiveBlurImage() selectively blur pixels within a contrast threshold. It is similar to the unsharpen mask that sharpens everything with contrast above a certain threshold.

The format of the SelectiveBlurImage method is:

    Image *SelectiveBlurImage(const Image *image,const double radius,
      const double sigma,const double threshold,ExceptionInfo *exception)
    Image *SelectiveBlurImageChannel(const Image *image,
      const ChannelType channel,const double radius,const double sigma,
      const double threshold,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Gaussian, in pixels.
threshold
  only pixels within this contrast threshold are included in the blur operation.
exception
  return any errors or warnings in this structure.

## ShadeImage

ShadeImage() shines a distant light on an image to create a three-dimensional effect. You control the positioning of the light with azimuth and elevation; azimuth is measured in degrees off the x axis and elevation is measured in pixels above the Z axis.

The format of the ShadeImage method is:

    Image *ShadeImage(const Image *image,const MagickBooleanType gray,
      const double azimuth,const double elevation,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
gray
  A value other than zero shades the intensity of each pixel.
azimuth, elevation
  Define the light source direction.
exception
  return any errors or warnings in this structure.

## SharpenImage

SharpenImage() sharpens the image. We convolve the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and SharpenImage() selects a suitable radius for you.

Using a separable kernel would be faster, but the negative weights cancel out on the corners of the kernel producing often undesirable ringing in the filtered result; this can be avoided by using a 2D gaussian shaped image sharpening kernel instead.

The format of the SharpenImage method is:

        Image *SharpenImage(const Image *image,const double radius,
    const double sigma,ExceptionInfo *exception)
        Image *SharpenImageChannel(const Image *image,const ChannelType channel,
    const double radius,const double sigma,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Laplacian, in pixels.
exception
  return any errors or warnings in this structure.

## SpreadImage

SpreadImage() is a special effects method that randomly displaces each pixel in a block defined by the radius parameter.

The format of the SpreadImage method is:

    Image *SpreadImage(const Image *image,const double radius,
      ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
radius
  Choose a random pixel in a neighborhood of this extent.
exception
  return any errors or warnings in this structure.

## UnsharpMaskImage

UnsharpMaskImage() sharpens one or more image channels. We convolve the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and UnsharpMaskImage() selects a suitable radius for you.

The format of the UnsharpMaskImage method is:

        Image *UnsharpMaskImage(const Image *image,const double radius,
    const double sigma,const double amount,const double threshold,
    ExceptionInfo *exception)
        Image *UnsharpMaskImageChannel(const Image *image,
    const ChannelType channel,const double radius,const double sigma,
    const double gain,const double threshold,ExceptionInfo *exception)

A description of each parameter follows:

image
  the image.
channel
  the channel type.
radius
  the radius of the Gaussian, in pixels, not counting the center pixel.
sigma
  the standard deviation of the Gaussian, in pixels.
gain
  the percentage of the difference between the original and the blur image that is added back into the original.
threshold
  the threshold in pixels needed to apply the diffence gain.
exception
  return any errors or warnings in this structure.