Abstract

Title : Second Generation Image Coding and Wavelet Transform
Authors : Jacques Froment and Stéphane Mallat

We introduce two different wavelet representations of an image. These representations allow us to define a second generation image coding algorithm that separates the edge from the texture information. The important edges are detected from the local maxima of a dyadic wavelet transform modulus, and the edge curves are coded on a geometric basis. The remaining wavelet coefficients carry mostly the texture information. The important textures are coded in a biorthonormal wavelet domain, on a energy criterion basis. We show two image coding examples, with compression ration of 42 and 118.