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A NEW SEARCHLESS FRACTAL IMAGE ENCODING METHOD FOR A REAL-TIME IMAGE COMPRESSION DEVICE

机译:用于实时图像压缩设备的新搜索分数形图像编码方法

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In this paper, we present a new searchless iterative function system (SIFS) fractal encoding method that encodes image range blocks based on fixed location domain blocks. The advantage of this method is that the fractal code does not contain coordinates (x,y) of the domain-range matched pairs. Therefore, the size of the range block can be as small as 2×2 pixels and still maintain a good compression rate and image quality. A fractal image encoding device based on the new method is implemented and tested. Finally, the experimental results of the fractal encoding device are presented. The results show that the peak signal-to-noise ratio (PSNR) and the compression rate of the reconstructed image are as good as the traditional domain block search methods. An FPGA implementation is capable of encoding a 256×256 8-bit gray-scale image in 0.63 ms. This provides the basis for real-time fractal image compression.
机译:在本文中,我们介绍了一种新的搜索迭代功能系统(SIFS)分形编码方法,其基于固定位置域块对图像范围块进行编码。该方法的优点在于,分形代码不包含域范围匹配对的坐标(x,y)。因此,范围块的尺寸可以小于2×2像素,并且仍然保持良好的压缩率和图像质量。实现并测试了一种基于新方法的分形图像编码设备。最后,提出了分形编码装置的实验结果。结果表明,峰值信噪比(PSNR)和重建图像的压缩率与传统域块搜索方法一样好。 FPGA实现能够在0.63ms中编码256×256个8位灰度图像。这为实时分形图像压缩提供了基础。

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