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Research on image processing with compressed sensing algorithm: Base on the improved layered discrete cosine transform

机译:压缩感知算法的图像处理研究:基于改进的分层离散余弦变换

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摘要

A compressed sensing algorithm based on improved layered discrete cosine transform (DCT) was proposed, which only measured the high-pass coefficients of the other layers but preserving the top layer coefficients. For the reconstruction, high-pass coefficients could be recovered by the measurements. Then the image could be reconstructed by the inverse DCT transform. Simulation results demonstrated that the proposed algorithm improved the quality of the recovered image significantly. For the same compression ratio, the peak signal to noise ratio of the proposed algorithm is improved about 2∼4 dB.
机译:提出了一种基于改进的分层离散余弦变换(DCT)的压缩感知算法,该算法仅测量其他层的高通系数,而保留顶层系数。对于重建,可以通过测量来恢复高通系数。然后可以通过逆DCT变换来重建图像。仿真结果表明,该算法显着提高了恢复图像的质量。对于相同的压缩率,该算法的峰值信噪比提高了约2〜4 dB。

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