Method of optimizing the compression of image data, with automat

Image analysis – Image compression or coding – Adaptive coding

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382232, 382238, G06K 936

Patent

active

060319399

ABSTRACT:
A method of optimizing the compression of image data in accordance with at least one compression objective includes an initialization phase including the steps of compressing a plurality of test samples in accordance with at least two different compression conditions, associating with each test sample at least one item of information characteristic of the content of the sample and at least one measurement of the corresponding compression results and establishing at least one reference function associating at least one of the compression objectives and/or at least one compression result measurement and/or at least one of the items of characteristic information for each of the compression conditions. The method additionally includes a selection phase including for each set of image data to be compressed the steps of determining at least one item of information characteristic of the set of image data to be compressed and selecting the optimal compression condition that maximizes at least one of the compression objectives in accordance with the item or items of characteristic information and the reference functions.

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patent: 5724475 (1998-03-01), Kriten
patent: 5917952 (1999-06-01), Noh
Srivastava et al., "Image Compression Based On Optimal Subband Decomposition and Vector Quantization", Circuits and Systems, Proceedings of the 38th Midwest Symposium, vol. 2, pp. 1232-1235, 1996.
Zhuang, "Adaptive Wavelet System for Image Representation", Signal Processing, 3rd International Conference, vol. 1, pp. 291-294, 1996.
J.M. Shapiro, "Smart compression using the embedded zerotree wavelet (EZW) algorithm" Conference Record of the Twenty-Seventh Asilomar Conference on Signals, Systems and Computers (Cat. No. 93CH3312-6), Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 103 Nov. 193, ISBN 0-8186-4120-7, 1993, Los Alamitos, CA, USA, IEEE Comput. Soc. Press, USA, pp. 486-490, vol. 1, XP000463745.

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