The use of sparse representations in signal and image processing is gradually increasing in
the past several years. Obtaining an overcomplete dictionary from a set of signals allows us …

Many applications in signal processing benefit from the sparsity of signals in a certain
transform domain or dictionary. Synthesis sparsifying dictionaries that are directly adapted to …

A new fingerprint compression algorithm based on sparse representation is introduced.
Obtaining an overcomplete dictionary from a set of fingerprint patches allows us to represent …

An efficient approach for face compression is introduced. Restricting a family of images to
frontal facial mug shots enables us to first geometrically deform a given face into a canonical …

We propose a new transform design method that targets the generation of compression-
optimized transforms for next-generation multimedia applications. The fundamental idea …

We investigate the implications of a unified spatio-chromatic basis for image compression
and reconstruction. Different adaptive and general methods (principal component analysis …

This paper addresses the use of independent component analysis (ICA) for image
compression. Our goal is to study the adequacy (for lossy transform compression) of bases …

In this study, two novel methods, which are based on Karhunen Loeve Transform (KLT) and
Independent Component Analysis (ICA), are proposed for coding of speech signals. Instead …

A flight-tested product line open system software architecture developed under the Boeing
Bold Stroke initiative has been previously described and presented (DC. Sharp, 2001). This …

In this paper, the security of Dither Modulation Quantization Index Modulation schemes for
digital images is analyzed. Both pixel and DCT coefficient quantization schemes are …