文章基本信息

标题：Analysis of Cuckoo Search with Genetic Algorithm for Image Compression
本地全文：下载
作者：S. Akila Pradeep ; R. Manavalan
期刊名称：International Journal of Engineering Research
印刷版ISSN：2319-6890
出版年度：2013
卷号：2
期号：6
页码：386-392
出版社：IJER
摘要：Compressing an image is different than compressing raw binary data. Of course, general purpose compression Techniques can be used to compress images, but the result is less than optimal. Statistical properties of image have been exploited by encoders specifically designed for them. This also means that lossy compression techniques can be used in this area. In this paper, cuckoo algorithm is integrated with genetic algorithm in image compression framework. Here image compression is implemented with the combination of cuckoo search and genetic algorithm optimization with Discrete Cosine Transform (DCT). The experimental result clearly shows that the efficiency proposed image compression method is better than other based on statistical parameter o f PSNR, MSE and CR.
关键词：Cuckoo search (CS); Genetic algorithm ; (GA); Discrete Cosine Transform (DCT); Image ; Compression