FRACTAL IMAGE COMPRESSION USING GENETIC ALGORITHM WITH VARIANTS OF CROSSOVER

FRACTAL IMAGE COMPRESSION USING GENETIC ALGORITHM WITH VARIANTS OF CROSSOVER
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使用带有交叉变体的遗传算法的分形图像压缩

DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
G. G. palanisamy
G. G. palanisamy
中科院分区：
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文献类型：
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作者：
K. S. Rajan;Huaqing Wang;Qiang Wu;T. Hintz;N. Hur;Mohamad Tayarani;G. G. palanisamy

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分形图像压缩技术是由于识别出比常规几何形状的形状更大的自然场景对于使用分形代码的图像压缩。您的自然图像并利用分区的迭代功能系统（PIF）供您编码。对于实时应用程序，它主要是在大型域名游泳池中的最佳匹配块上花费的时间。大大降低了在给定图像中找到自我相似性的外观。禁止的范围和域之间的协调 - 分形图像压缩，遗传算法，自我相似性，交叉，突变。
Fractal image compression techniques are developed due to recognition that fractals may describe natural scenes greater than shapes of regular geometry. One of the very efficient fractal methods is based on iterated function system (IFS), and may be developed by Bamsley and Jacquin. New techniques for image compression while using the theory of fractal. The fractal codes are made assuming self likeness property of pictures. Fractal image compression explores the self similarity property of your natural image and utilizes the partitioned iterated function system (PIFS) for you to encode it. This system is of excellent interest both in theory and application. On the other hand, it is time-consuming within the encoding process and such drawback makes it Impractical for real-time applications. The time is primarily spent on the look for the best-match block within a large domain swimming pool. In particular, to generate the fractal rules, Genetic Algorithm are utilized which greatly decreases the look for finding self similarity’s within the given image. With this paper the means of Genetic Algorithm (GA) is tried for Fractal Image Data compression (FIC). With assistance from this evolutionary algorithm effort was created to reduce the seek complexity of coordinating between range prohibit and domain prohibit. Keywords— Fractal Image compression, Genetic Algorithm, self similarity, crossover, mutation.