| 图像压缩中基于量子行为的粒子群优化算法研究 |
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| 引用本文： | 陈玉萍,须文波,孙俊. 图像压缩中基于量子行为的粒子群优化算法研究[J]. 计算机应用, 2006, 26(10): 2369-2371 |
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| 作者姓名： | 陈玉萍 须文波 孙俊 |
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| 作者单位： | 江南大学,信息工程学院,江苏,无锡,214122;江南大学,信息工程学院,江苏,无锡,214122;江南大学,信息工程学院,江苏,无锡,214122 |
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| 摘 要： | 为了降低图像存储、传输的空间复杂度，必须对图像进行压缩。为此，研究如何将量子行为的粒子群优化算法（QPSO）运用于图像压缩。在图像的压缩处理中，先对原始图像元素序列进行排序，再根据收敛性要求对压缩编码进行优化。实验结果表明该算法压缩效果优于经典遗传算法(GA)。
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| 关 键 词： | 基于量子行为的粒子群优化算法 遗传算法 图像压缩 |
| 文章编号： | 1001-9081（2006）10-2369-03 |
| 收稿时间： | 2006-04-04 |
| 修稿时间： | 2006-04-042006-06-09 |
Research on QPSO algorithm in image compression |
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| CHEN Yu-ping,XU Wen-bo,SUN Jun. Research on QPSO algorithm in image compression[J]. Journal of Computer Applications, 2006, 26(10): 2369-2371 |
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| Authors: | CHEN Yu-ping XU Wen-bo SUN Jun |
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| Affiliation: | School of Information Technology, Southern Yangtze University, Wuxi Jiangsu 214122, China |
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| Abstract: | In order to decrease the space complexity of image storage and transfer, it is necessary to do image compression. Therefore, how to apply Quantum-behaved Particle Swarm Optimization(QPSO) to image compression was studied in this paper. During the compression process, an ordered representation of image was first obtained, and then the compressed code was optimized according to the particles astringency. Experimental results show that the compression efficiency of QPSO algorithm is much better than Genetic Algorithm (GA). |
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| Keywords: | Quantum-behaved Particle Swarm Optimization(QPSO) algorithm Genetic Algorithm(GA) image compression |
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