Total variation-based mixed weighted Wiener filter image denoising method

A technology of Wiener filtering and full variation, which is applied in the field of image denoising based on hybrid weighted Wiener filtering based on full variation, can solve the problems that internal texture features and edge corner information cannot fully achieve the denoising effect, and ensure Integrity, reducing missing effects

Active Publication Date: 2018-01-19
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0003] At present, there are many studies on denoising methods, but for some internal texture features and edge corner information, only relying on gradient operators to diffuse cannot fully achieve the ideal denoising effect.

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  • Total variation-based mixed weighted Wiener filter image denoising method
  • Total variation-based mixed weighted Wiener filter image denoising method
  • Total variation-based mixed weighted Wiener filter image denoising method

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Embodiment Construction

[0031] The specific implementation of the hybrid weighted Wiener filtering image denoising method based on total variation provided by the present invention will be described in detail below in conjunction with the accompanying drawings.

[0032] This specific embodiment provides a kind of hybrid weighted Wiener filter image denoising method based on total variation, with figure 1 It is a flow chart of the hybrid weighted Wiener filter image denoising method based on total variation in the specific embodiment of the present invention. Such as figure 1 As shown, the total variation based hybrid weighted Wiener filter image denoising method provided in this specific embodiment includes the following steps:

[0033] Step S11: using a camera including a charge-coupled device (CCD) to collect an original image to be processed. The camera uses a charge-coupled device seat image sensor element because the charge-coupled device has small size, light weight, high resolution, high sen...

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Abstract

The invention provides a total variation-based mixed weighted Wiener filter image denoising method. The method comprises the following steps of: 1, acquiring a to-be-processed original image by utilizing a video camera which comprises a charge-coupled device; 2, carrying out grayscale image conversion on the original image acquired by the video camera; 3, carrying out noise addition on the converted grayscale image; and 4, denoising the image after noise addition by adoption of a hybrid model which is formed by a Wiener filter model and a total variation model. According to the method, the integrity of internal texture information of images can be ensured, and the loss of border angular point feature information of the images can be decreased.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for denoising an image based on a total variation-based hybrid weighted Wiener filter. Background technique [0002] Research on image denoising and restoration has become an important research topic in image analysis fields such as edge detection, image segmentation, machine vision, and pattern recognition. The edge structure and texture information of the image can reflect the basic characteristics and important information of the image content, while the traditional filtering model always leads to the loss of edge information to a certain extent in the process of image denoising processing, so it is necessary to find an image that can achieve effective The method of denoising effect and preserving edge information is very important. Due to the lack of prior information, the denoising problem is often ill-conditioned, so it is necessary to use mathematical me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 周先春黄金王力汪一凡
Owner NANJING UNIV OF INFORMATION SCI & TECH
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