Image coding based on zerocrossing and energy information

Andrea Basso; Alexander M. Geurtz; Murat Kunt

doi:10.1117/12.158014

22 October 1993 Image coding based on zerocrossing and energy information

Andrea Basso, Alexander M. Geurtz, Murat Kunt

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.158014
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

In this paper we propose a complete subband-based codec for image compression purposes, using a new 2D algorithm based on zero-crossing and energy information. Although signal representation based on sign information is attractive from a coding point of view, two major problems inhibited its practical use, namely the large amount of side information needed for obtaining a stable reconstruction and the efficient treatment of inherently 2D signals. The new algorithm significantly improves the reconstruction results obtained in our previous work, thanks to its improved convergence and its capabilities to deal with the two-dimensional nature of the subband image signals. The zero-crossing information is compressed in a lossless way using the JBIG standard and the energy information in a lossy way using an arithmetic coder. Good results have been obtained both at the reconstruction and at the coding level, which show the feasibility of the global scheme.

Citation Download Citation

Andrea Basso, Alexander M. Geurtz, and Murat Kunt "Image coding based on zerocrossing and energy information", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.158014

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KEYWORDS

Reconstruction algorithms

Image compression

Algorithm development

Image restoration

Signal processing

Bandpass filters

Electronic filtering

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