We propose a novel approach that uses disparity-compensated lifting for wavelet compression of light fields. Disparity compensation is incorporated into the lifting structure for...
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...
A novel method for the compression of angiogram video sequences is presented. The approach is based on the idea that not all of an angiogram image will de diagnostically significa...
We proposea new ngerprint imagecompressionscheme based on the hybrid model of image. Our scheme uses the essential steps of a typical automated ngerprint identi cation system (AFI...
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...