We discuss a few new motion deblurring problems that are significant to kernel estimation
and non-blind deconvolution. We found that strong edges do not always profit kernel …

Fully updated throughout, with several new chapters, this second edition of Introduction to
Inverse Problems in Imaging guides advanced undergraduate and graduate students in …

This article studies the problem of image restoration of observed images corrupted by
impulse noise and mixed Gaussian impulse noise. Since the pixels damaged by impulse …

The restoration of blurred images corrupted with impulse noise is a difficult problem which
has been considered in a series of recent papers. These papers tackle the problem by using …

In this paper, we propose a two-phase approach to restore images corrupted by blur and
impulse noise. In the first phase, we identify the outlier candidates—the pixels that are likely …

Image inpainting has been widely used in practice to repair damaged/missing pixels of
given images. Most of the existing inpainting techniques require knowing beforehand where …

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

Consider the problem of image deblurring in the presence of impulsive noise. Standard
image deconvolution methods rely on the Gaussian noise model and do not perform well …

This manuscript is devoted to variational models, their corresponding Euler–Lagrange
equations and numerical implementations for image processing. Such techniques allow us …

In this research work, a segmentation method for disease spotted leaves using Advanced
Comprehensive Color Feature (ACCF) and Region Growing method captured under real …