Imaging is an interdisciplinary research area with profound applications in many areas of
science, engineering, technology, and medicine. The most primitive form of imaging is visual …

Blind image deconvolution is constantly receiving increasing attention from the academic as
well the industrial world due to both its theoretical and practical implications. The field of …

Orthogonal and biorthogonal wavelets became very popular image processing tools but
exhibit major drawbacks, namely a poor resolution in orientation and the lack of translation …

In this paper, we propose novel algorithms for total variation (TV) based image restoration
and parameter estimation utilizing variational distribution approximations. Within the …

Existing multichannel blind restoration techniques assume perfect spatial alignment of
channels, correct estimation of blur size, and are prone to noise. We developed an …

In this article, we propose a local and geometric point of view of vector image filtering using
diffusion PDEs. It allows us to analyze proposed methods of vector data regularization, as …

A generalization of the linear fractional integral equation u (t)= u0+∂− αAu (t), 1< α< 2,
which is written as a Volterra matrix-valued equation when applied as a pixel-by-pixel …

In this paper an improved hybrid method for removing noise from low SNR molecular
images is introduced. The method provides an improvement over the one suggested by Jian …

This paper describes a photon-counting study of the cavitation luminescence produced by
flow over a hydrofoil. This has previously been identified in water saturated with xenon. The …

Blind Image Deconvolution: Problem Formulation and Existing Approaches Page 1 1 Blind
Image Deconvolution: Problem Formulation and Existing Approaches Tom E. Bishop …