Simulated Annealing Algorithm for 2D Image Compression

被引:3
|
作者
Moreno-Bernal, Pedro [1 ]
Antonio Cruz-Chavez, Marco
Rodriguez-Leon, Abelardo
Lopez, Otoniel
Malumbres, Manuel P.
Martinez-Rangel, Martin G.
Martinez-Oropeza, Alina [1 ]
Martinez-Bahena, Beatriz [1 ]
Yanel Juarez-Chavez, Jazmin [1 ]
机构
[1] Posgrad Ingn & Ciencias Aplicadas, Cuernavaca 62209, Morelos, Mexico
关键词
D O I
10.1109/CERMA.2012.28
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper a new sign coding approximation method for the wavelet coefficients in a 2D image codec based on a simulated annealing metaheuristic is presented. The efficiency of the proposed algorithm versus a genetic algorithm using benchmarks of Kodak is compared and showing that the proposed sign prediction algorithm is efficient and provides a significant reduction of wavelet coefficients sign information in the final bit-stream. The results show that, by including sign coding capabilities to a non-embedded encoder, the sign compression gain is up to 17.35%, being the rate-distortion (R/D) performance improvement up to 0.25 dB.
引用
收藏
页码:129 / 134
页数:6
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