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Method for removing noise of images of contact networks on basis of LWBCTCS (lifting wavelet-based contourlet transform with cycle spinning)

A catenary and image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of signal spectrum aliasing and pseudo-Gibbs, so as to overcome the pseudo-Gibbs phenomenon and reduce redundancy , the effect of preserving texture and details

Inactive Publication Date: 2015-04-29
XIHUA UNIV
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Problems solved by technology

At the same time, due to the downsampling process of the lifting wavelet and the Contourlet transform, the downsampling process may cause signal spectrum aliasing, resulting in pseudo-Gibbs phenomenon while image denoising

Method used

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  • Method for removing noise of images of contact networks on basis of LWBCTCS (lifting wavelet-based contourlet transform with cycle spinning)
  • Method for removing noise of images of contact networks on basis of LWBCTCS (lifting wavelet-based contourlet transform with cycle spinning)
  • Method for removing noise of images of contact networks on basis of LWBCTCS (lifting wavelet-based contourlet transform with cycle spinning)

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Embodiment Construction

[0028] The embodiment of the present invention will be described in further detail below in combination with catenary images.

[0029] Such as figure 1 As shown, a catenary image denoising method based on LWBCTCS is characterized by first constructing LWBCT transformation, then performing circular translation on the original catenary image, and then decomposing the shifted image by LWBCT transformation, and then decomposing the decomposition coefficients. Noise processing, and LWBCT is used for inverse transformation, and finally the obtained images are summed and averaged to obtain the catenary image after denoising; the specific steps are as follows:

[0030] A. Form LWBCT transformation: use the industrial camera on the catenary detection vehicle to collect the catenary image; use the lifting method to construct the lifting wavelet; use the lifting wavelet to replace the LP transformation in the Contourlet transformation to construct the LWBCT transformation;

[0031] B. C...

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Abstract

The invention discloses a method for removing noise of images of contact networks on the basis of LWBCTCS (lifting wavelet-based contourlet transform with cycle spinning). The method includes steps of A, carrying out LWBCT (lifting wavelet-based contourlet transform); B, carrying out row and column cycle spinning on the images of the contact networks; C, carrying out LWBCT decomposition on the spun images to obtain decomposition coefficients of various dimensions and directions; D, removing noises of the decomposed coefficients; E, carrying out LWBCT reconstruction on the processed images; F, reconstructing images by means of reverse cycle spinning, superposing the images, then carrying out mean processing on the images to obtain images without the noise. The method has the advantages that the noise of the images of the contact networks can be effectively suppressed, texture details of the images without the noise can be effectively kept, and indicators SNR (signal to noise ratios) and PSNR (peak signal to noise ratios) for evaluating image noise removing effects are superior to indicators of Contourlet transform methods for removing noise.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a catenary image denoising method based on LWBCTCS (lifting wavelet-based contourlet transform with cyclespinning). Background technique [0002] With the rapid development of high-speed railway, how to ensure the safety of railway transportation is an arduous task. The catenary is a special form of transmission line erected along the railway line to supply power to electric locomotives. If it is in a bad state, the power supply and safety performance of high-speed trains will be affected. Therefore, it is necessary to effectively detect the operating state of the catenary to better ensure the safe operation of electrified railways. [0003] At present, the commonly used catenary state detection methods include manual method, laser digital detection method, and visual detection method based on image processing. Among them, the visual detection method is a non-c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 吴昌东刘志刚江桦杨钦雲
Owner XIHUA UNIV
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