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Non-local mean image denoising method based on noise variance estimation

A noise variance estimation and non-local mean technology, which is applied in image enhancement, image data processing, calculation, etc., can solve the problem of increased calculation, and achieve the effect of improving definition, clear edge and detail information

Active Publication Date: 2014-12-10
HARBIN ENG UNIV
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Problems solved by technology

However, there are problems in the selection of noise image parameters in this method, including the selection of image block size and the estimation of noise variance.
The traditional empirical estimation method cannot obtain accurate noise variance very well, and an overly complex estimation method will lead to an increase in the overall calculation amount

Method used

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  • Non-local mean image denoising method based on noise variance estimation
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  • Non-local mean image denoising method based on noise variance estimation

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Noise detection should be sensitive to the edge in the image, so different directions should be considered in the selection of the estimation operator, assuming that the two direction elements are:

[0036] L 1 = 0 1 / 2 0 1 / 2 - 2 1 / 2 0 1 / 2 0 ...

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Abstract

The invention belongs to the technical field of digital image processing, in particular to a non-local mean image denoising method based on noise variance estimation. The non-local mean image denoising method based on the noise variance estimation is used for the image denoising and used as subsequent object identification pretreatment. The non-local mean image denoising method based on the noise variance estimation includes that inputting a noise image to obtain the noise image size; generating a zero matrix which has the same size with that of the noise image; symmetrically expanding the edge of the noise image; estimating a noise variance and confirming a global smoothing parameter; traversing each pixel in the noise image, and calculating weights; using a non-local mean algorithm to calculate the denoising image. The non-local mean image denoising method based on the noise variance estimation is capable of obviously improving the noise image definition and more clearly keeping the edge and detail information after denoising.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a non-local mean image denoising method based on noise variance estimation, which is applied to image denoising and used as preprocessing for subsequent target recognition. Background technique [0002] As the most basic and core technology in image processing, image denoising is the premise to ensure the smooth realization of subsequent image processing, also known as image filtering. Its ultimate goal is to improve the quality degradation of the actual image caused by noise interference. Through the application of various technical means, the visual quality and signal-to-noise ratio of the image can be effectively improved, and the essential information of the image can be better restored, as an important preprocessing method. Prepare for subsequent operations. [0003] The noise existing in the image can generally be regarded as Gaussian white noi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 李一兵付强叶方刘悦张静朱瑶杨鹏李敖陈杰
Owner HARBIN ENG UNIV