首页> 外文会议>Computers and Communications, 2005 10th IEEE Symposium on; Cartagena,Spain >Partitioned fractal image compression for binary images using genetic algorithms
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Partitioned fractal image compression for binary images using genetic algorithms

机译:使用遗传算法对二值图像进行分形分形图像压缩

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The paper presents a novel approach for pre-processing of binary images, which helps in subsequent application of the genetic algorithm in a parallel manner and reduces the computational time, while at the same time improves the quality of the regenerated image and makes the evolutionary approach more practical to employ for fractal image compression. Pre-processing involves division of image into disconnected regions, identification of the largest solid rectangle and final partitioning about the rectangle. The performance of the proposed partitioned technique is tested on a binary image and the experimental results are reported.
机译:本文提出了一种新的二进制图像预处理方法,该方法有助于并行应用遗传算法并减少计算时间,同时提高了再生图像的质量,并提出了一种进化方法。分形图像压缩更实用。预处理包括将图像划分为不连续的区域,识别最大的实心矩形以及围绕该矩形的最终分割。在二值图像上测试了所提出的分区技术的性能,并报告了实验结果。

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