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Information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing

A technology of threshold filtering and compressed sensing, which is applied in the field of wireless transmission, can solve problems such as low transmission efficiency, poor reconstruction robustness, and blurred information, and achieve clear images, relieve hardware pressure, and good filtering effects

Inactive Publication Date: 2020-12-11
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the image blurring, spots or even cracks in the pictures or videos collected in the underwater environment due to interference or noise, which makes the collected information fuzzy, noisy and disturbed, resulting in low transmission efficiency and heavy In view of the technical defects of poor structural robustness, an information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing is proposed

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  • Information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing
  • Information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing
  • Information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing

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Embodiment 1

[0060] This embodiment describes the specific implementation of the information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing in the present invention.

[0061] This embodiment describes the specific implementation of the information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing in the present invention, such as figure 1 shown.

[0062] Step A. Sampling and observing the information x with a dimension of m×n through compression;

[0063] During specific implementation, m=n=256; the compression rate k of compressed sampling is 0.5, namely M=0.5*m;

[0064] Sparse collection is single-scale discrete two-dimensional wavelet transform, and four sets of wavelet coefficients are obtained;

[0065] In the specific implementation here, the multi-scale discrete two-dimensional wavelet transform, wavedec2, can also be used;

[0066] Among them, the discrete wavelet transform base inc...

Embodiment 2

[0101] Further, to simulate the transmission performance of the method, the specific implementation is the same as the content of the invention, and the steps are as follows:

[0102] Step a, under-sampling the underwater information, the collected result is recorded as I4, and the dimension of I4 is m×n, that is, m rows and n columns; wherein, m and n are both greater than or equal to 8;

[0103] Step b, when collecting, carry out discrete two-dimensional wavelet transform to matrix I4 and obtain 4 groups of wavelet coefficients;

[0104] Among them, 4 groups of wavelet coefficients include: 1 group of low frequency coefficients LL2 and 3 groups of high frequency coefficients: HL2, LH2 and HH2;

[0105] Among them, the low-frequency coefficient LL2 is an approximation of the original image, which directly affects the reconstruction quality of the entire image, and LL2 is non-sparse;

[0106] Step c, observe the three groups of high-frequency coefficients HL2, LH2, and HH2 re...

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Abstract

The invention relates to an information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing, and belongs to the technical field of image enhancement. The method comprises the following steps: carrying out discrete two-dimensional wavelet sparse basis on information to obtain high-frequency and low-frequency coefficients; observing the high-frequency coefficient, and outputting an observation result matrix; performing quantization, channel coding, modulation, transmission, demodulation, channel decoding and inverse quantization on the observation result matrix and the low-frequency coefficient, and outputting recovered high-frequency and low-frequency coefficients; denoising the high-frequency coefficient based on Renyi entropy, and then performing compressed sensing reconstruction; and performing Butterworth high-pass filtering on the low-frequency coefficient, and performing wavelet inverse transformation on the low-frequency coefficient and the recovered high-frequency coefficient to obtain recovered information. According to the method, the contour of the image with the blurred contour can be enhanced through high-pass filtering so that the processed image is clearer; part of noise can be filtered out in the compressed sensing process, and wavelet coefficient reconstruction with unknown sparsity is achieved; and channel coding iscombined so that the cost is reduced and the bit error rate is also reduced.

Description

technical field [0001] The invention relates to an information enhancement and transmission method based on wavelet, threshold filtering and compressed sensing, and belongs to the technical field of wireless transmission. Background technique [0002] Sparse signals do not depend on the distribution characteristics of the signal itself. According to the universal observation value to achieve the purpose of low complexity, each observation value contains part of the "information" of the signal approximately equally, and any observation value is lost or disturbed, and there is no Influence other observations to participate in the reconstruction process, and can adapt to relatively harsh channel environments. The underwater environment is relatively complex, and underwater shooting and transmission of information will be disturbed by various man-made equipment or by the movement and migration of various species. Most importantly, the images captured underwater and the informat...

Claims

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Application Information

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IPC IPC(8): H04N1/32
CPCH04N1/3217H04N1/32277
Inventor 卢继华王瑞王欢杨爱英韩航程谢民马志峰
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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