Cross subset guided residual block set measurement rate regulation and control method

Abstract

The invention relates to a cross subset guided residual block set measurement rate regulation and control method, which comprises the following steps of dividing a target image into a plurality of blocks, classifying all the blocks, and classifying each block into a cross subset or a residual block set through block set division; sequentially observing the cross subsets block by block by using theinitial measurement rate, and counting observation value vectors; setting various optimization measurement rates for the residual block set according to the statistical condition of the observation value vectors in the cross subsets, observing the residual block set block by block in sequence by using the optimization measurement rates, and recording observation values; and carrying out multi-directional prediction on the observation value of each block block block by block according to a spiral sequence, and carrying out residual quantization and entropy coding. According to the invention, the overall quality of image observation is improved under the condition of keeping the average measurement rate.

Description

technical field [0001] The invention relates to the technical field of regulation and control of observation parameters in a compressed sensing communication system, in particular to a method for regulating and controlling the measurement rate of residual block sets guided by cross subsets. Background technique [0002] The compressed sensing communication system can break through the limitation of the Nyquist sampling law, so that the signal sampled at the sub-Nyquist rate can still be effectively restored, and the complexity can be transferred from the measurement end to the reconstruction end. The compressed sensing measurement terminal obtains low-dimensional observation data from the original high-dimensional signal, and the observation process is simultaneous signal acquisition and data compression. As a typical image compression sensing architecture, Quantized Block Compressive Sensing (QBCS) divides the target image into several blocks of the same size, each block co...

AI Technical Summary

Problems solved by technology

[0003] The inventors of the present invention have found that the current QBCS measurement terminal uses a single measurement rate to observe all blocks of the target image, ignoring the feature differences of different regions, so that image regions with little information are also assigned the same measurement rate, which is difficult Improving the observation quality of the target image

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