In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
Abstract--The main contribution of this work is a new paradigm for image representation and image compression. We describe a new multilayered representation technique for images. A...
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-Dimensional Set Partitioned Embedded bloCK(3D-SPECK) efficiently encodes hyperspe...