Linear filtering
[Algorithms and Classes for Image Processing]

Linear filtering kernels and functors. More...

Collaboration diagram for Linear filtering:

Classes
class	lti::convolution
	Convolution functor. More...
class	lti::downsampling
	This functor is used to downsample images. More...
class	lti::gradientFunctor
	The gradient is a simple wrapper for the convolution functor with some convenience parameterization to choose between different common gradient kernels. More...
class	lti::gradientKernelX< T >
	Two-dimensional separable filter kernels for the gradient approximation. More...
class	lti::gradientKernelY< T >
	Two-dimensional separable filter kernels for the gradient approximation. More...
class	lti::hessianKernelXX
	Two-dimensional kernels to compute the Hessian coefficients. More...
class	lti::hessianKernelYY
	Two-dimensional kernels to compute the Hessian coefficients. More...
class	lti::hessianKernelXY
	Two-dimensional kernels to compute the Hessian coefficients. More...
class	lti::laplacianKernel
	Two-dimensional kernels to compute the Laplacian. More...
class	lti::andoKernelXX< T >
	Two-dimensional separable filter kernels for the second derivative approximation. More...
class	lti::andoKernelXY< T >
	Two-dimensional separable filter kernels for the second derivative approximation. More...
class	lti::andoKernelYY< T >
	Two-dimensional separable filter kernels for the second derivative approximation. More...
class	lti::upsampling
	Upsampling is the complementary functor to lti::downsampling. More...

Detailed Description

Linear filtering kernels and functors.