Image denoising method and device based on non-local mean value

A non-local mean and image technology, applied in the field of image processing, can solve the problem of unsatisfactory image denoising effect and achieve the effect of improving image denoising effect

Active Publication Date: 2014-03-26
PEKING UNIV +2
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Problems solved by technology

[0008] However, the inventors found that the existing non-local mean-based denoising methods only consider similar structures with

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  • Image denoising method and device based on non-local mean value
  • Image denoising method and device based on non-local mean value
  • Image denoising method and device based on non-local mean value

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Embodiment Construction

[0017] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0018] An embodiment of the present invention provides an image denoising method based on a non-local mean, including: taking the rotation factor and the micro-scale change factor in the image as weight factors for setting the non-local mean.

[0019] Existing non-local mean-based denoising methods only consider similar structures with translational properties when analyzing self-similar structures in images. The inventors found that there may be non-local similar structures with rotation and small scale changes in natural images, and such similar structures can also be used for image denoising. This method takes into account the possible rotation and scale invariance of local blocks and original blocks, effectively increasing the number of searchable image blocks with greater similarity under different rotation angles and small scal...

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Abstract

The invention provides an image denoising method based on a non-local mean value. The image denoising method comprises the step of using rotary factors and tiny scale changing factors in an image as weight factors for setting the non-local mean value. The invention further provides an image denoising device based on the non-local mean value. The image denoising device comprises a weight module which is used for using the rotary factors and the tiny scale changing factors in the image as the weight factors for setting the non-local mean value. According to the invention, the image denoising effect is improved.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image denoising method and device based on non-local means. Background technique [0002] Image denoising is to process the input image with noise, so as to remove the noise contained in the image and restore the original noise-free image better. [0003] Buades et al. found that the entire natural image often contains structures with self-similarity, such as repeated patterns and structures. These autocorrelations contain complementary information, which is helpful for image denoising, and thus proposed a non-local mean-based denoising method. Specific steps are as follows: [0004] (1) For a certain pixel i of the input image and each pixel j within a certain search range Ω around it, select a local block N with i and j as the center pixel i and N j ; [0005] (2) By dividing the local block N i and N j Perform matching to calculate the difference between two l...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 任杰李马丁刘家瑛郭宗明
Owner PEKING UNIV
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