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3 March 1995 Interband prediction method for subband image coding
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert G. Simpson "Interband prediction method for subband image coding", Proc. SPIE 2418, Still-Image Compression, (3 March 1995); https://doi.org/10.1117/12.204129
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