As auto-stereoscopic displays offer more and more different possible views, the problem of the size of the data to display is becoming more and more urging. If many 3D images com...
In Image Compression, the researchers' aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete...
Discrete wavelet transformations (DWT) followed by embedded zerotree encoding is a very efficient technique for image compression [2, 5, 4]. However, the algorithms proposed in l...
We provide two compressive sensing (CS) recovery algorithms based on iterative hard-thresholding. The algorithms, collectively dubbed as algebraic pursuits (ALPS), exploit the res...
In this work we propose a method for estimating disparity maps from very few measurements. Based on the theory of Compressive Sensing, our algorithm accurately reconstructs dispar...