Modern daily life activities result in a huge amount of data, which creates a big challenge for
storing and communicating them. As an example, hospitals produce a huge amount of data …

Lossless compression is necessary for many high performance applications such as
geophysics, telemetry, nondestructive evaluation, and medical imaging, which require exact …

This paper proposes an edge-directed interpolation algorithm for natural images. The basic
idea is to first estimate local covariance coefficients from a low-resolution image and then …

This paper describes a highly efficient method for lossless compression of volumetric sets of
medical images, such as CTs or MRIs. The proposed method, referred to as 3-D-MRP, is …

Blind image quality assessment refers to the problem of evaluating the visual quality of an
image without any reference. It addresses a fundamental distinction between fidelity and …

This paper introduces a new framework for error concealment in block-based image coding
systems: sequential recovery. Unlike previous approaches that simultaneously recover the …

This paper presents a prediction-based image-hiding scheme that embeds secret data into
compression codes during image compression. This scheme employs a two-stage structure …

High-quality depth recovery from RGB-D data has received increasingly more attention in
recent years due to their wide applications from depth-based image rendering to three …

In this paper, we survey some of the recent advances in lossless compression of continuous-
tone images. The modeling paradigms underlying the state-of-the-art algorithms, and the …

Recently, many researchers started to challenge a long-standing practice of digital
photography: oversampling followed by compression and pursuing more intelligent sparse …