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Image denoising method based on improved bilateral filtering

A bilateral filtering and image technology, applied in the field of image denoising, can solve the problems of poor noise removal effect in smooth area, steep GM function curve, etc.

Active Publication Date: 2014-08-06
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0013] In addition, as the r value further increases, the GM function curve becomes steeper, that is, when x takes a small value, the function value will drop to zero immediately, which will cause poor noise removal effect in the smooth area

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  • Image denoising method based on improved bilateral filtering
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  • Image denoising method based on improved bilateral filtering

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Embodiment Construction

[0045] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0046] like figure 1 As shown, an image denoising method based on improved bilateral filtering, first uses the Wiener function to estimate the gray value of the neighborhood center pixel on the input noisy image, then uses the GM function to calculate the brightness similarity weight, and uses The Gaussian weight calculates the spatial proximity weight, and denoises the image after multiplying the two calculated weights, as follows:

[0047] Step S1: Carry out Wiener filtering on the original image I, i∈I, v(i) is the pixel value of the original image, and use the Wiener function to ...

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Abstract

The invention relates to an image denoising method based on improved bilateral filtering. The method comprises the steps of estimating a gray value of a neighborhood center pixel by performing a norbert wiener function on an input noise image, then calculating a brightness similarity weight value through a GM function, calculating a space proximity weight value through a Gaussian weight value, and multiplying the two obtained weight values to perform denoising. Compared with the prior art, the image denoising method disclosed by the invention has the advantages that the quality of a denoised image can be improved, edge texture information is protected, target and background information are accurately expressed, and an ideal denoising effect is achieved.

Description

technical field [0001] The invention relates to an image denoising method, in particular to an image denoising method based on improved bilateral filtering. Background technique [0002] In the process of acquisition, transmission and processing, the quality of images is usually reduced due to noise interference, which seriously affects the performance of subsequent image processing such as image feature extraction, image recognition and image retrieval. Therefore, image denoising, as a basic technique of image processing, has always been the focus of people's attention. Classic image denoising algorithms include: Gaussian filter, median filter, wavelet transform, Wiener filter and so on. Among them, the Gaussian filter does not distinguish between edges and details due to its isotropy, so this method is easy to cause image edges and details to be blurred; although median filtering can effectively maintain the edge information of the image, it does not affect the details an...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 赵倩王晓华周多
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER