Compressed sensing image reconstruction method based on relevance vector grouping
A technology of image reconstruction and compressed sensing, which is applied in the field of image processing, can solve the problems of inaccurate images, non-robustness of the method, aggregation of coefficients without combining wavelet decomposition, etc., so as to improve the reconstruction quality and robustness Effect
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[0026] The present invention will be further described below in conjunction with the accompanying drawings.
[0027] refer to figure 1 , the present invention is based on the compressed sensing image reconstruction method of correlation vector grouping, and specific implementation steps are as follows:
[0028] Step 1, the receiver receives the observation matrix and the observation vector.
[0029](1a) The image sender observes the image in the wavelet domain, and retains all the low-frequency wavelet decomposition coefficients as the observation of the low-frequency wavelet decomposition coefficients, and uses the orthogonal random Gaussian observation matrix Φ to measure the horizontal high-frequency sub-band, vertical high-frequency sub-band and diagonal The high-frequency sub-bands are subjected to block-compressed sampling to obtain horizontal high-frequency sub-band block observation vectors, vertical high-frequency sub-band block observation vectors, and diagonal high...
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