Contourlet domain Wiener filtering image denoising method based on two-dimensional Otsu

A technology of Wiener filtering and contourlet, which is applied in the field of digital image preprocessing, can solve the problems of small Wiener shrinkage factor, large image signal loss, and a lot of noise in the denoised image, so as to reduce noise residue, improve clarity, The effect of preserving detailed information

Inactive Publication Date: 2012-08-01
XIDIAN UNIV
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Problems solved by technology

The disadvantage of this method is that the image signal is lost too much in the first step of non-local mean pre-filte...

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  • Contourlet domain Wiener filtering image denoising method based on two-dimensional Otsu
  • Contourlet domain Wiener filtering image denoising method based on two-dimensional Otsu
  • Contourlet domain Wiener filtering image denoising method based on two-dimensional Otsu

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Embodiment Construction

[0030] Reference figure 1 , The implementation steps of the present invention are as follows:

[0031] Step 1. Perform contourlet decomposition on the noisy image TI with the size of A×B. The number of decomposition layers is 3. The first layer decomposition obtains 16 high-frequency subbands, and the second layer decomposition obtains 8 high-frequency subbands. The third layer is decomposed to obtain 8 high frequency subbands, and then the absolute median method is used to estimate the noise noise_TI of the noisy image TI:

[0032] noise _ TI = median ( | I | ) 0.6745

[0033] Among them, I is the high-frequency coefficient of the contour wave of the first layer obtained by contour wave decomposition of the noisy image TI, || is the absolute value operation, and median is the median value operation.

[0034] Step 2: Use two-dimensional Otsu to separate the high frequency subbands decomposed above, and divide the coefficients in the high frequency subba...

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Abstract

The invention discloses a contourlet domain Wiener filtering image denoising method based on two-dimensional Otsu, which mainly solves the problem that a denoising effect of a traditional denoising method is not good. The contourlet domain Wiener filtering image denoising method based on the two-dimensional Otsu comprises the following implementation steps of: 1, performing contourlet decomposition on a noise-contained image TI; 2, respectively performing two-dimensional Otsu partition on all decomposed high-frequency sub-bands to obtain an important coefficient and a non-important coefficient; 3, respectively calculating elliptical windows of the high-frequency sub-bands, estimating signal variances of the high-frequency sub-bands according to the elliptical windows, and respectively performing Wiener filtering on the important coefficient and the non-important coefficient; 4, performing contourlet inverse transformation on the denoised high-frequency sub-bands to obtain a denoised image FI; and 5, performing non-local average filtering on the denoised image FI to obtain denoised output. According to the contourlet domain Wiener filtering image denoising method based on the two-dimensional Otsu, noise in a natural image containing Gaussian white noise can be effectively removed. The contourlet domain Wiener filtering image denoising method based on the two-dimensional Otsu can be used for preprocessing the image when change detection and target identification are performed.

Description

Technical field [0001] The invention belongs to the technical field of image processing, relates to the denoising of natural images in the case of noise, and can be used for digital image preprocessing in the fields of forest resource investigation, environmental change assessment, medical imaging and the like. Background technique [0002] Due to the limitation of various conditions, the image will be affected by various noises in the process of acquisition, encoding and transmission. Image denoising solves the problem of image quality degradation caused by noise interference, suppresses the influence of noise, and improves the image Quality, so image denoising technology occupies an important position in many fields. [0003] The most widely used image denoising methods are filtering methods based on wavelet transform and contourlet transform. The contourlet transform adopts an adjustable rectangular basis function, which can accurately capture the edges in the image into subband...

Claims

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Application Information

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IPC IPC(8): G06T5/00
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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