Lecture 5 - Wavelet Compression of 1D Signals

Abstract : This lecture allows to manipulate an entropic coder (arithmetic coding) in order to compress signals using a transform/quantization/coding scheme. It looks forward explaining the difference between wavelet approximation (transform and then thresholding) and wavelet coding (transform then quantization then coding).

Entropy and entropic coding.

Quantization of a wavelet transform.

Compression of the wavelet decomposition for various thresholds.




Copyright © 2006 Gabriel Peyré