| 摘 要: 图像分形编码处理数据较多、压缩编码时间过长。论文提出了一种快速图像处理算法，对低频子图进行分
形编码，以缩短图像压缩编码的时间，然后采用低频差值，对图像实施压缩感知编码来获取解码之后包含的图像内容信
息。实验结果表明本文算法可以提高图像分形编码速度，改进重构图像的解码质量。 |
| 关键词: 压缩感知；图像处理；编码；低频差值 |
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中图分类号: TP311.52
文献标识码: A
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| A Fast Image Processing Algorithm Based on Compressed Sensing |
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LIU Kun
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( Xuhai College of China University of Mining and Technology, Xuzhou 221008, China)
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| Abstract: Aiming at the too much data in image fractal coding the too much time in image compression encoding,the paper proposes a fast image processing algorithm to solve the problems.The algorithm only implements image fractal coding to low-frequency sub-images,which effectively reduces the time of image compression encoding.The decoded image information can be obtained after adopting the low-frequency difference to implement compressed sensing encoding to images.Experiment results show that the proposed algorithm can increase the image fractal coding speed and improve the decoding quality of reconstructed images. |
| Keywords: compressed sensing;image processing;coding;low-frequency difference |
