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引用次数: 1

摘要

本文提出了不同的方法来降低重构图像的模糊效果和块压缩感知中平滑投影landweber (BCS-SPL)解码端的计算复杂度。研究发现,由于采用维纳滤波和阈值法,重构质量差,计算量大。因此,每种方法都采用不同的阈值分割方法来提高重建质量并降低计算复杂度。已经进行了许多模拟实验来评估所提出的方法,并将它们与其他几种传统的压缩感知技术进行比较。仿真结果表明,与其他传统方法相比,该方法的重构质量提高了5 dB,并且减少了计算复杂度。
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Performance improvement of the decoding side of the BCS-SPL technique
This paper proposes different approaches to reduce the blurring effect of the reconstructed images and the computational complexity at the decoding side of the block compressive sensing with smooth projected landweber (BCS-SPL). It was found that the reason of the lack of reconstruction quality and computational complexity are due to the use of wiener filter and thresholding method. Therefore, each proposed approach uses a different thresholding method to improve the reconstruction quality and reduce computational complexity. Many simulation experiments have been conducted to evaluate the proposed approaches and compare them to several other conventional compressive sensing techniques. Our simulation results show that the proposed approaches improves the reconstruction quality by up to 5 dB relative to the other conventional techniques and also reduce the computational complexity time.
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