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

来源：

2012 IEEE NINTH ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE (CERMA 2012) | 2012年

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

页码：129 / 134

页数：6

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