A simple and efficient method of computing entropy constrained scalar quantizer
A simple and powerful method of designing entropy constrained scalar quantizer is presented in this paper. The method is based upon numerical minimization of the distortion function D instead of solving non-linear equations. Compared to the existing algorithms, this algorithm can be used to a variet...
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creator | Jian-Yu Lin Zhiqang Cai Yunqi Lei |
description | A simple and powerful method of designing entropy constrained scalar quantizer is presented in this paper. The method is based upon numerical minimization of the distortion function D instead of solving non-linear equations. Compared to the existing algorithms, this algorithm can be used to a variety of distribution functions including real world statistically found ones, and it converges very fast. |
doi_str_mv | 10.1109/ICOSP.2000.891741 |
format | Conference Proceeding |
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The method is based upon numerical minimization of the distortion function D instead of solving non-linear equations. 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The method is based upon numerical minimization of the distortion function D instead of solving non-linear equations. Compared to the existing algorithms, this algorithm can be used to a variety of distribution functions including real world statistically found ones, and it converges very fast.</abstract><pub>IEEE</pub><doi>10.1109/ICOSP.2000.891741</doi></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Design engineering Design methodology Entropy Image converters Minimization methods Nonlinear distortion Nonlinear equations Power engineering and energy Power engineering computing Quantization |
title | A simple and efficient method of computing entropy constrained scalar quantizer |
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