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.