Distributed Image Compressive Sensing Reconstruction Method
An image compression and compressed sensing technology, applied in image coding, image data processing, graphics and image conversion, etc., can solve problems such as control of unfavorable decoding equipment cost, loss of edge detail information in splicing, ignoring correlation, etc., to reduce data The amount of storage and calculation, the effect of overcoming the loss of block edge detail information, and the effect of high-precision image reconstruction
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[0031] refer to figure 1 . exist figure 1 In the process of image compression and reconstruction shown in the figure, according to the transmission passband requirements of the communication transmission system, the acquired complete original large image is divided into several smaller-sized sub-images; the random Gaussian measurement matrix is used to independently analyze each sub-image The compressed sensing projection calculation is performed on the image, and the image data compression measurement value used for encoding at the sending end of the communication transmission system is obtained; the image data compression measurement value is decoded by the receiving end, and then the measurement matrix fusion and measurement value fusion are carried out, and the compression ratio is set. The dimensions of the sub-measurement matrix are expanded, and the extended measurement matrix is weighted and fused with the confidence of the codec as the weight to obtain a releva...
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