Many real-world problems deal with collections of high-dimensional data, such as images,
videos, text, and web documents, DNA microarray data, and more. Often, such high …

This paper sheds light on the least-square (LS)-based adaptive prediction schemes for
lossless compression of natural images. Our analysis shows that the superiority of the LS …

We study the robust estimation of missing regions in images and video using adaptive,
sparse reconstructions. Our primary application is on missing regions of pixels containing …

We combine the main ideas introduced in Part I with adaptive techniques to arrive at a
powerful algorithm that estimates missing data in nonstationary signals. The proposed …

Delay sensitive video transmission over error prone networks can suffer from packet
erasures when channel conditions are not favorable. Use of error concealment (EC) at the …

Abstract Magnetic Resonance Imaging (MRI) is useful to provide detailed anatomical
information such as images of tissues and organs within the body that are vital for …

Multimedia streaming applications have disruptively occupied bandwidth in wire line
Internet, yet today's fledging mobile media streaming still poses many challenges in efficient …

Error concealment plays an important role in robust video transmission. Recently, Chen and
Leung presented an efficient data hiding-based (DH-based) approach to recover corrupted …

A robust error concealment scheme using data hiding which aims at achieving high
perceptual quality of images and video at the end-user despite channel losses is proposed …

Signal extrapolation is an important topic in image communication where it can be used for
various prediction purposes such as concealment of image data corrupted by transmission …