Double-image denoising method based on shear waves

A double image and shear wave technology, applied in the field of image processing, can solve the problems of denoising and blurring, destroying image edge details, etc., and achieve good definition, maintain clarity, and maintain the effect of texture structure

Active Publication Date: 2020-06-05
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0004] The purpose of this invention is to provide a double image denoising method based on shear wave, which solves the problem of blurring or even destroying the image edge during denoising in the prior art a matter of detail

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  • Double-image denoising method based on shear waves
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Embodiment Construction

[0025] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] A dual image denoising method based on shearlets, such as figure 1 shown, including the following steps:

[0027] Step 1. Decompose the noise image f(x, y) to obtain low-frequency sequences and high-frequency sequences of different scales;

[0028] Shearlet transform is the inheritance and development of wavelet transform. It overcomes the defects of direction limitation and translation invariance of wavelet transform, and its realization process is more flexible and effective. The shearlet transform combines the multi-scale characteristics of the wavelet and can be divided according to the direction. It has a simple structure and generates a basis function by stretching, translating, and rotating the function. The expression is:

[0029]

[0030]

[0031] In the formula: is the generating function of the shear wave, a∈R + i...

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Abstract

The invention discloses a double-image denoising method based on shear waves, and the method comprises the steps: carrying out the decomposition of a noise image f (x, y), and obtaining a low-frequency sequence and a high-frequency sequence of different scales; respectively carrying out denoising processing on the low-frequency sequence and the high-frequency sequence; carrying out inverse transformation on the low-frequency sequence and the high-frequency sequence to obtain an image F1 after primary denoising; and performing double denoising on the image F1 to obtain an image F2. Shear wave multi-scale transformation decomposition is adopted, the defect that wavelet decomposition is not fine enough is overcome, weak and small signals can be better distinguished, and transformation has theadvantages of translation invariance, stability and the like. Denoising processing is carried out on the three high-frequency sequences by adopting an adaptive threshold method, so that most of noisein the image can be better eliminated, and the edge of the image is kept; median filtering denoising is adopted for the low-frequency sequence coefficient, isolated noise in the image can be eliminated, and the definition of the image can be better maintained.

Description

technical field [0001] The invention belongs to the technical field of image processing methods, and relates to a double image denoising method based on shear waves. Background technique [0002] With the continuous advancement of science and technology, the information contained in images has been paid more and more attention. Image processing is an important prerequisite for image information extraction, and image information is easily interfered by different types of noise when it is extracted or transmitted. The noise in the image will greatly reduce the image quality, and even blur the features of the image and cover up important information. Therefore, it is extremely important to perform efficient denoising preprocessing on the image. Under the research of many scholars, in order to better reduce or eliminate the noise in the image, many image denoising methods have been produced, such as wavelet threshold method, Wiener filtering method, median filtering method, Gau...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10004G06T2207/20048G06T2207/20024G06T2207/20032G06T2207/20192
Inventor 李云红李传真周小计穆兴毕远东张欢欢
Owner XI'AN POLYTECHNIC UNIVERSITY
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