Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
A comparison of lossleess compression results is given for RGB, YCRCB and reversible JPEG 2000 color space. The paper describes the general conditions that rounding errors of a co...
This paper introduces Group Testing for Wavelet Packets (GTWP), a novel embedded image compression algorithm based on wavelet packets and group testing. This algorithm extends the...
Books and magazines often contain pages containing audacious mixtures of color images and text. Our problem consists in coding the background colors of a such documents without wa...