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Underwater information anti-interference method based on compressed sensing and Renyi entropy

A technology of compressed sensing and underwater acquisition, applied in image data processing, instrumentation, computing, etc., can solve the problems of reducing the size of the observation matrix, robustness of inaccurate information, and low robustness of reconstruction

Active Publication Date: 2020-01-17
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to address the technical defects of inaccurate received information and poor robustness caused by interference or noise in the pictures or videos collected in the underwater environment, and proposes The underwater information anti-interference method based on compressed sensing and Renyi entropy is aimed at the information collected underwater due to the influence of various interferences and noises, resulting in blurred information, noise and interference, resulting in low reconstruction robustness; The above method uses Renyi entropy to calculate the wavelet transform threshold, and then extracts sub-coefficients in different directions based on two-dimensional wavelet transform; then reduces the size of the observation matrix, and reconstructs the wavelet coefficient vector in combination with the approximate message passing method, so as to remove noise and interference from the information collected underwater the goal of

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  • Underwater information anti-interference method based on compressed sensing and Renyi entropy

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Embodiment 1

[0061] This embodiment illustrates the use of the underwater information anti-jamming method based on compressed sensing and Renyi entropy described in the present invention, which is applied to various disturbed pictures collected underwater for processing, and its specific structural composition is as follows figure 1 As shown, the specific implementation is as follows:

[0062] Step A, store the information collected underwater in the form of a matrix, denoted as I; then calculate the Renyi entropy value of each row in the matrix I with row units;

[0063] Among them, the dimension of matrix I is m rows and n columns, and m and n are both greater than or equal to 8; specifically in this embodiment, both m and n are set to 256, and sea urchin images and sea cucumbers with dimensions of 256×256 pixels collected underwater image for example;

[0064] Step B. Calculate the Renyi entropy value output by step A, find the maximum value and the corresponding row, and calculate the...

Embodiment 2

[0097] This embodiment describes the specific implementation of applying the underwater information anti-jamming method based on compressed sensing and Renyi entropy described in the present invention to processing pictures polluted by various noises collected underwater.

[0098] Step a, read the information collected underwater, and store it in the form of a matrix, denoted as I; calculate the Renyi entropy value of each row in the matrix I in units of rows; the dimension of the matrix I is m×n, that is, m rows and n columns; Among them, the dimension of matrix I is m rows and n columns, and m and n are both greater than or equal to 8; specifically in this embodiment, both m and n are set to 256, and sea urchin images and sea cucumbers with dimensions of 256×256 pixels collected underwater image for example;

[0099] Step b. Calculate the Renyi entropy value output by step A, find the maximum value and the corresponding row, and calculate the maximum value of the pixels in t...

Embodiment 3

[0119] This embodiment describes the specific implementation of applying the underwater information anti-jamming method based on compressed sensing and Renyi entropy of the present invention to pictures collected underwater that are polluted and disturbed by noise, under different resolution conditions.

[0120] Step (1), read the information collected underwater, and store in matrix form, denoted as I;

[0121] Step (2), 256 × 256 pixels, 256 × 256 pixels, 512 × 512 pixels respectively according to the steps in embodiment 1, carry out coarse denoising and fine denoising processing to the image of 3 kinds of pixels, and then through wavelet inverse transform Get the restored image.

[0122] Table 5 Image denoising effect of different resolutions (PSNR value in the table, unit dB)

[0123]

[0124] As shown in Table 5, when the pixels of the image are high, the average structural similarity (SSIM) after denoising is significantly higher than that of the image with smaller p...

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Abstract

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.

Description

technical field [0001] The invention relates to an underwater information anti-jamming method based on compressed sensing and Renyi entropy, and belongs to the technical field of underwater analog information conversion and compressed sensing. Background technique [0002] With the development of multimedia technology, the resolution of images and video signals has been continuously improved, and high-definition pictures and high-definition videos have gradually become the mainstream of information transmission. The underwater environment is relatively complex, and underwater shooting and transmission of information will be interfered to varying degrees. The compressed sensing (Compressive Sensing, CS) theory developed in recent years provides a way to collect signals. When the signal is sparse or compressible, the signal can be randomly observed through a measurement matrix at a low sampling rate. According to A small number of observations, through the optimization algori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T9/00
CPCG06T9/00G06T5/73
Inventor 卢继华冯立辉王欢沈英
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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