基于帝国主义竞争算法的彩色图像无损压缩

Abbas Mirzaei Somarin, M. Shirin
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引用次数: 0

摘要

存在具有媒体(音频或视频)内容的不同类型文件的最重要原因之一是在保持质量的同时实现压缩和更小的大小。在设备和网络之间文件的快速传输和所需存储空间的减少方面,压缩一直受到关注和行动。考虑到上面提到的内容,一般来说,压缩的概念可以分为有损和无损两类。在有损方法中,省略了一部分数据,但在无损方法中,不省略任何数据进行压缩。最后,本文提出了一种利用帝国竞争算法进行无损压缩的方法。所提出的算法试图为图像颜色图实现更优化的颜色,从而提高压缩率。仿真结果表明,该算法的压缩率为43%,与其他类似方法相比具有一定的优越性。
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Lossless Compression of Color images using Imperialist competitive algorithm
One of the most important reasons of the existence of different types of files with media (audio or video) content, is achieving compression and less size, while preserving quality. In terms of fast transportation of files between equipment and networks and decrease of the required storage space, compression have always been under attention and action. Considering what was mentioned, in general, the concept of compression can be divided into two classes of lossy and lossless. In the lossy method, a part of data is omitted, but in the lossless methods, no data is omitted for compression. At the end of this article, a lossless compression method is presented using Imperialist competitive algorithm for compression. The proposed algorithm tries to achieve a more optimized color for the image color-map, so that it increases the compression rate. The simulation results indicate that the proposed algorithm can perform the compression by 43 percent and show its superiority compared to other similar methods.
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来源期刊
Bulletin de la Societe Royale des Sciences de Liege
Bulletin de la Societe Royale des Sciences de Liege Multidisciplinary-Multidisciplinary
CiteScore
0.90
自引率
0.00%
发文量
11
期刊介绍: The ‘Société Royale des Sciences de Liège" (hereafter the Society) regularly publishes in its ‘Bulletin" original scientific papers in the fields of astrophysics, biochemistry, biophysics, biology, chemistry, geology, mathematics, mineralogy or physics, following peer review approval.
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