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首页> 外文会议>Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer >Study of wavelet base and threshold policies impact on the image reconstruction quality based on compressed sensing
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Study of wavelet base and threshold policies impact on the image reconstruction quality based on compressed sensing

机译：基于压缩感知的小波基阈值策略对图像重建质量的影响

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摘要

The compression sampling scheme is realized, in which sparseness processing is realized in this theme employing wavelet transform; standard pseudo-random number matrix of uniformly distributed sequences and two dimensional central Fourier transform are used for generating random measurement matrix, and algorithm of subsection orthogonal matching pursuit is used for sampling data reconstruction. Influence of wavelet basis and threshold strategy on quality of reconstructed image is researched and elaborate description of the experiment result is provided. The experiment data of this paper provides strong support to optimization of wavelet basis and strategy of threshold selection.
机译：实现了压缩采样方案，其中采用小波变换实现了稀疏处理。使用均匀分布的序列的标准伪随机数矩阵和二维中央傅里叶变换生成随机测量矩阵，并使用分段正交匹配追踪算法进行采样数据重构。研究了小波基和阈值策略对重构图像质量的影响，并对实验结果进行了详尽的描述。本文的实验数据为小波基的优化和阈值选择策略提供了有力的支持。

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