Objective methods for assessing perceptual image quality traditionally attempted to quantify
the visibility of errors (differences) between a distorted image and a reference image using a …

Objective image and video quality measures play important roles in a variety of image and
video processing applications, such as compression, communication, printing, analysis …

In this paper, we describe a nonlinear image representation based on divisive normalization
that is designed to match the statistical properties of photographic images, as well as the …

Digital image signals are typically represented as two-dimensional (2D) arrays of discrete
signal samples. If we rearrange the signal samples into a one-dimensional (1D) vector, then …

Image compression systems commonly operate by transforming the input signal into a new
representation whose elements are independently quantized. The success of such a system …

We consider the problem of efficiently encoding a signal by transforming it to a new
representation whose components are statistically independent. A widely studied linear …

This chapter presents structural similarity as an alternative design philosophy for objective
image quality assessment methods. It discusses the motivation, the general idea, and a …

Structural similarity metrics and information-theory-based metrics have been proposed as
completely different alternatives to the traditional metrics based on error visibility and human …

A novel wavelet-based scheme to increase coefficient independence in hyperspectral
images is introduced for lossless coding. The proposed regression wavelet analysis (RWA) …

In vision science, cascades of Linear+ Nonlinear transforms are very successful in modeling
a number of perceptual experiences. However, the conventional literature is usually too …