The linear and nonlinear scale spaces, generated by the inherently real-valued diffusion
equation, are generalized to complex diffusion processes, by incorporating the free …

A new method of farthest point strategy (FPS) for progressive image acquisition-an acquisition
process that enables an approximation of the whole image at each sampling stage-is …

A scheme suitable for visual information representation in a combined frequency-position
space is investigated through image decomposition into a finite set of two-dimensional Gabor …

Signal and image enhancement is considered in the context of a new type of diffusion process
that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion …

We address the issue of textured image segmentation in the context of the Gabor feature space
of images. Gabor filters tuned to a set of orientations, scales and frequencies are applied …

Denoising algorithms based on gradient dependent regularizers, such as nonlinear diffusion
processes and total variation denoising, modify images towards piecewise constant …

Recent studies of cortical simple cell function suggest that the primitives of image representation
in vision have a wavelet form similar to Gabor elementary functions (EFs). It is shown …

Denoising algorithms based on gradient dependent energy functionals, such as Perona-Malik
and total variation denoising, modify images towards piecewise constant functions. …

We address the issue of regularizing Osher and Rudin’s shock filter, used for image deblurring,
in order to allow processes that are more robust against noise. Previous solutions to the …

This paper is concerned with finding the best partial differential equation-based denoising
process, out of a set of possible ones. We focus on either finding the proper weight of the …