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An image block compressed sensing reconstruction method based on a wavelet packet threshold value

A technology of compressed sensing reconstruction and compression reconstruction, which is applied in the directions of image enhancement, image analysis, image coding, etc., can solve the problems of reconstruction effect and reconstruction accuracy that need to be further improved, and solve the problem of block effect and accuracy, The effect of improving reconstruction accuracy

Active Publication Date: 2019-04-02
HENGYANG NORMAL UNIV
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Problems solved by technology

However, it does not deal with it from the perspective of frequency domain space. Therefore, the reconstruction effect and reconstruction accuracy of the existing image block compressed sensing methods need to be further improved.

Method used

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  • An image block compressed sensing reconstruction method based on a wavelet packet threshold value
  • An image block compressed sensing reconstruction method based on a wavelet packet threshold value
  • An image block compressed sensing reconstruction method based on a wavelet packet threshold value

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Embodiment Construction

[0052] The present invention comprises the following steps:

[0053] In order to facilitate the calculation, the image is first scaled: the size of the original image is reset to make it N×N, and N=4 n , where n is a natural number.

[0054] see figure 2 , the scaled image s is divided into blocks with a size of B×B, where Get Q sub-blocks, namely s 1 ,s 2 ,...,s Q Piece. Then convert the pixels in each sub-block into the same row according to the original order of arrangement, and convert it into a 1×B*B row vector Will Arranged in the same column in order to form a new image The dimensions are still NxN.

[0055] Set up a Gaussian random matrix where R represents the field of real numbers, and in for The transpose matrix of , I is the unit vector; let the sampling matrix Set the sampling ratio u; the number of rows of the sampling matrix is ​​M, M=N*u, the sampling result Wavelet orthogonal matrix Ψ, the size is N×N; J is the number of layers of wav...

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Abstract

The invention discloses an image block compressed sensing reconstruction method based on a wavelet packet threshold value, which comprises the following steps of segmenting an image according to blocks, converting each segmented block into a column to form a new image, and carrying out compressed iteration reconstruction on the image by adopting a method of minimizing two normal forms on the new image, and carrying out wavelet packet decomposition on an iteration reconstruction result of each time by adopting a wavelet packet. By decomposing an original signal into a high frequency part and alow frequency part, generating a threshold value by utilizing low frequency information, carrying out threshold value processing on an iteration reconstruction result, and generating a control factorby utilizing high frequency information to control the threshold value, and through multiple iterations, a final reconstruction result is obtained. According to the method, the reconstruction result can be well improved.

Description

technical field [0001] The invention relates to an image block compressive sensing reconstruction method, in particular to an image reconstruction method based on small packet threshold block compressive sensing. Background technique [0002] Compressed sensing is a new sampling theory, which uses random sampling to obtain discrete samples of the signal under conditions much smaller than the Nyquist sampling rate by exploiting the sparse characteristics of the signal, and then perfectly reconstructs the signal through a nonlinear reconstruction algorithm. Once the compressive sensing theory was put forward, it attracted extensive attention from academia and industry. It has received high attention in the fields of information theory, image processing, earth science, optics, microwave imaging, pattern recognition, wireless communication, atmosphere, geology, etc., and was rated as the top ten scientific and technological progress in 2007 by American Technology Review. Compre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00G06T7/11G06T5/10G06T3/40
CPCG06T3/40G06T5/10G06T7/11G06T9/00G06T2207/20021G06T2207/20064
Inventor 赵辉煌郑金华邹祎孙雅琪
Owner HENGYANG NORMAL UNIV
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