The invention relates to an underwater information anti-interference method based on compressed sensing and Renyi entropy, and belongs to the technical field of underwater analog information conversion and compressed sensing. The method comprises the following steps: 1) reading underwater acquired information, calculating the Renyi entropy of each row, solving the row corresponding to the maximumvalue, and calculating the pixel maximum value of the row as the Renyi entropy threshold T1; 2) filtering by taking W * W as a unit based on T1; 3) carrying out discrete two-dimensional wavelet transform; 4) calculating Renyi entropy denoising thresholds of the high-frequency coefficients according to rows, and then denoising the high-frequency coefficients; 5) constructing a Gaussian random observation matrix to perform compressed observation on the denoised high-frequency coefficient; 6) performing AMP reconstruction on all the filtered high-frequency coefficients; and 7), performing waveletinverse transform on the low-frequency sub-coefficient and the reconstructed high-frequency sub-coefficient for obtaining recovered underwawter acquired information; according to the method, part ofnoise can be filtered out, the peak signal-to-noise ratio of the denoised underwater acquired image is effectively improved, and the average structural similarity of the denoised underwater image is optimized.
Underwater information anti-interference method based on compressed sensing and Renyi entropy