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Contourlet domain image denoising method based on Treelet

An image and image matrix technology, applied in the field of image processing, can solve problems such as destroying image details, and achieve the effect of reducing noise residue, reducing computational complexity, and improving translation invariance.

Inactive Publication Date: 2013-01-23
XIDIAN UNIV
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Problems solved by technology

The disadvantage of this method is that it destroys the details of the image

Method used

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  • Contourlet domain image denoising method based on Treelet
  • Contourlet domain image denoising method based on Treelet
  • Contourlet domain image denoising method based on Treelet

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Embodiment Construction

[0027] refer to figure 1 , the implementation steps of the present invention are as follows:

[0028] Step 1. Calculate the auto-covariance matrix S from the noisy image NI of size A×B s and the autocorrelation coefficient matrix M s .

[0029] For a noisy image NI with a size of A×B, use the pixel grayscale of the i-th column to form an A×1-dimensional column vector NI i , A is the number of rows of NI, the value of i is 1,...., B, B is the number of columns of NI, in order to judge the correlation between column vectors, find the autocovariance matrix S of NI s :

[0030] S s = 1 B Σ i = 1 B ( NI i - NI ‾ ) ( NI ...

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Abstract

The invention discloses a Contourlet domain image denoising method based on Treelet, mainly solving the problem of poor denoising effect of the existing denoising method. The Contourlet domain image denoising method comprises the implementation steps of: (1) solving a residual variable matrix by a noise-containing image NI; (2) carrying out non-local mean prefiltering on the NI and obtaining a filtered image LI; (3) carrying out translation on the LI to obtain an image PI after translation, and carrying out Contourlet decomposition on the PI; (4) carrying out denoising respectively on all decomposed high-frequency subbands, carrying out Contourlet inverse transformation on the denoised subbands and obtaining a denoised image FI; (5) carrying out inverse translation on the FI and obtaininga denoised image; and (6) repeating the steps (3)-(5) for eight times to denoise and averaging, and outputting the eight denoised images. The Contourlet domain image denoising method can effectively remove the noise in natural images containing Gaussian white noise, and can be used for change detection and image preprocessing in target identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to the denoising of natural images corroded by Gaussian white noise, and can be used for digital image preprocessing in fields such as land use and coverage change detection, environmental change assessment, urban planning, and medical imaging. Background technique [0002] The main purpose of image denoising is to solve the problem of image quality degradation caused by noise interference in actual images. Image quality can be improved by denoising, the signal-to-noise ratio can be increased, and the information carried by the image can be better reflected. Therefore, image denoising technology occupies an important position in many fields. [0003] According to the characteristics of the image and the statistical characteristics of the noise, many image denoising methods have been proposed over the years. The existing denoising methods are mainly divided into spatial domain fil...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/10
Inventor 王桂婷周逸丽焦李成刘芳钟桦张小华田小林
Owner XIDIAN UNIV
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