Uses of Class
net.grelf.image.Kernel

Packages that use Kernel

Package	Description
net.grelf.grip	This package contains the Java classes which are specific to the image processing application GRIP. GRIP is available as a free download from www.grelf.net - please always quote this URL in connection with GRIP. Version: 18.1.24
net.grelf.image	This package contains Java classes defining and processing images.

Uses of Kernel in net.grelf.grip

Methods in net.grelf.grip that return Kernel

Modifier and Type	Method and Description
static Kernel	ConvolutionMenu.getKernel()

Methods in net.grelf.grip with parameters of type Kernel

Modifier and Type	Method and Description
void	ImFrame.convolve(Kernel aKernel) Convolve this image with the given kernel, setting the kernel as the current kernel field of this class.
void	ImFrame.deconvolve(Kernel kernel, int nPasses, double deconvolutionWeight) Deconvolve the image with the given kernel by the van Cittert method.
static void	ConvolutionMenu.setKernel(Kernel aKernel)

Uses of Kernel in net.grelf.image

Methods in net.grelf.image that return Kernel

Modifier and Type	Method and Description
static Kernel	Kernel.createGaussianKernel(Image image, int halfWidth) Create a kernel which is a Gaussian hump.
static Kernel	Kernel.load(java.lang.String path, int nBands) Load kernel from a comma-separated text file.

Methods in net.grelf.image with parameters of type Kernel

Modifier and Type	Method and Description
void	Image.convolve(Kernel kernel, javax.swing.ProgressMonitor monitor) Perform a 2D linear convolution with the given kernel.
void	Image32.convolve(Kernel kernel, javax.swing.ProgressMonitor monitor) Perform a 2D linear convolution with the given kernel.
void	Image64.convolve(Kernel kernel, javax.swing.ProgressMonitor monitor) Perform a 2D linear convolution with the given kernel.
void	Image8or16Base.convolve(Kernel kernel, javax.swing.ProgressMonitor monitor) Perform a 2D linear convolution with the given kernel.
ComplexImage64	Image64.createTransformedKernel(Kernel kernel) Create a Fourier transform of a net.grelf.image.Kernel, at the size of the current image, ready for use in (de-)convolution.
void	Image.deconvolve(Kernel kernel, int nPasses, double weight, javax.swing.ProgressMonitor monitor) Deconvolve this image with the given kernel, using van Cittert's method.
void	Image32.deconvolve(Kernel kernel, int nPasses, double weight, javax.swing.ProgressMonitor monitor) Deconvolve this image with the given kernel, using van Cittert's method.
void	Image64.deconvolve(Kernel kernel, int nPasses, double weight, javax.swing.ProgressMonitor monitor) Deconvolve this image with the given kernel, using van Cittert's method.
void	Image8or16Base.deconvolve(Kernel kernel, int nPasses, double weight, javax.swing.ProgressMonitor monitor) Deconvolve this image with the given kernel, using van Cittert's method.