Contextual bitplane coding for DWT image compression

Khanh Nguyen-Phi; Hans Weinrichter

doi:10.1117/12.263410

15 January 1997 Contextual bitplane coding for DWT image compression

Khanh Nguyen-Phi, Hans Weinrichter

Proceedings Volume 3022, Storage and Retrieval for Image and Video Databases V; (1997) https://doi.org/10.1117/12.263410
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

We propose a new simple image coder based on Discrete Wavelet Transform (DWT). The DWT coefficients are coded in bitplanes. We use a variable order Markovian model to code the DWT coefficient bitplanes. Recently, we have developed this method that used 65 contexts. In this paper, the number of contexts is reduced to 34. We show the experimental results, both in terms of distortion measurement and visual comparison, and compare them to well-known methods.

Citation Download Citation

Khanh Nguyen-Phi and Hans Weinrichter "Contextual bitplane coding for DWT image compression", Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); https://doi.org/10.1117/12.263410

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