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Lossy Color Image Compression Technique using Fractal Coding with Different Size of Range and Domain Blocks

机译:使用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

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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.
机译:本文提出了一种基于分形编码的方法,该方法属于有损压缩范畴。分形编码通常用于灰度图像。提出的方法是首先将RGB彩色空间图像的三个平面分开,然后将分形编码算法分别应用于各个平面。在文献中众所周知的色彩空间图像上,使用不同大小的域块和范围块进行了广泛的实验。分析了有关时间,图像压缩率和图像重建质量的结果。实施结果表明,大的域块可以实现更大的压缩率,但是在图像质量上需要更多的权衡。比较结果并用性能图表示。所提出的方法对于图像重建质量不太重要的大型数据库应用很有用。该方法的时间复杂度约为n2。

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    《》|2006年|236-239|共4页
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    Koli; Nitin A.; Ali; M. S.;

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