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A fast vector quantization image encoding using Tchebichef moments

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dc.contributor.author BELDIANU, Spiridon Florin
dc.date.accessioned 2019-10-28T13:56:19Z
dc.date.available 2019-10-28T13:56:19Z
dc.date.issued 2005
dc.identifier.citation BELDIANU, Spiridon Florin. A fast vector quantization image encoding using Tchebichef moments. In: Microelectronics and Computer Science: proc. of the 4th intern. conf., September 15-17, 2005. Chişinău, 2005, vol. 2, pp. 40-43. ISBN 9975-66-038-X. en_US
dc.identifier.isbn 9975-66-038-X
dc.identifier.uri http://repository.utm.md/handle/5014/5496
dc.description.abstract The codeword searching sequence is sometimes vital to the efficiency of a VQ encoding algorithm. In this paper, we present a fast encoding algorithm for vector quantization that uses Tchebichef moments of an image block three characteristics of a vector: linear projection, variance and third moment. A similar method using linear projection and variance of an image block was already proposed (EENNS, IEENNS). Severeal new inequalities based on Tchebichef moments of a image block are introduced to reject those codewords that are impossible to be the nearest codevector and cannot be rejected by inequalities based on sum and variance, thereby saving a great deal of computational time, while introducing no extra distortion compared to the conventional full search algorithm. The simulation results confirm the effectiveness of the proposed algorithm compared with improved equal-average equal-variance nearest neighbor search (IEENNS). en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject images en_US
dc.subject Tchebichef en_US
dc.title A fast vector quantization image encoding using Tchebichef moments en_US
dc.type Article en_US


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