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Proceedings Paper

Interband prediction method for subband image coding
Author(s): Robert G. Simpson
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Paper Abstract

Researchers investigating multiresolution, pyramid, or wavelet-style subband images have repeatedly noted the obvious visual similarity between corresponding portions of subband images at adjacent resolutions, pyramid levels or wavelet scales. Fractal-based compression methods directly exploit the similarity between portions of the image and spatially contracted portions of the same image. Yet, the conventional strategy of independently coding the subband images ignores these relationships, thereby neglecting behavior that could provide significant leverage in reducing the compressed bitrate. We present an interband prediction method that capitalizes on interband relationships. Starting with a lower-frequency subband image, the method predicts the content of the next-higher-frequency subband image. The process repeats recursively until the desired resolution level is reached. Both the predictor and the prediction are determined using small local regions in the subband image, to accommodate the notoriously nonstationary behavior of image data. Occasionally, the prediction error is objectionably large and requires prediction-error correction. Examples of good image quality are presented with prediction across three subband levels and prediction-error correction at roughly 10% of the predicted pixels.

Paper Details

Date Published: 3 March 1995
PDF: 12 pages
Proc. SPIE 2418, Still-Image Compression, (3 March 1995); doi: 10.1117/12.204129
Show Author Affiliations
Robert G. Simpson, AlliedSignal Microelectronics and Technology Ctr. (United States)


Published in SPIE Proceedings Vol. 2418:
Still-Image Compression
Majid Rabbani; Edward J. Delp; Sarah A. Rajala, Editor(s)

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