基于不同范围和域块大小的分形编码的有损彩色图像压缩技术

N. Koli, Dr. M. S. Ali, S. G. B. Amravati
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引用次数: 7

摘要

本文提出了一种基于分形编码的方法,属于有损压缩的范畴。分形编码通常用于灰度图像。该方法首先对RGB色彩空间图像的三个平面进行分离,然后在各个平面上分别应用分形编码算法。在文献中已知的彩色空间图像上,用不同大小的域块和距离块进行了大量的实验。结果从时间、图像压缩比和图像重建质量等方面进行了分析。实现结果表明,较大的域块可以获得更高的压缩比,但在图像质量方面需要付出更多的代价。结果用性能图进行比较和表示。该方法适用于对图像重建质量要求不高的大型数据库应用。该方法的时间复杂度为n2数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lossy Color Image Compression Technique using Fractal Coding with Different Size of Range and Domain Blocks
This paper proposed the approach based on fractal coding which falls in the lossy compression category. Fractal coding is generally used for grey level images. Proposed method firstly separate the three planes of RGB color space images and then the fractal coding algorithm is applied on individual planes independently. Extensive experiments are carried out with different size of domain blocks and range blocks on well-known color space images from literature. Results are analyzed with respect to the time, image compression ratio and image reconstruction quality. Implementation results shows that the greater compression ration can be achieved with large domain blocks but more trade off in image quality. Results are compared and represented with the performance graph. The proposed method can be useful for the huge database applications where the image reconstruction quality does not matter much. Time complexity of the proposed method is in the order of n2 .
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