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A Fast Image Denoising Method Based on Nonlocal Mean

A non-local mean, image technology, applied in the field of image processing, can solve the problems of limited application, large memory, long preprocessing process, etc., to achieve the effect of ensuring image quality and reducing denoising time

Active Publication Date: 2018-08-07
ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These algorithms can significantly reduce the computational complexity of the NLM algorithm, but the establishment of these data structures usually requires a long preprocessing process or a very large memory, thus limiting the application of such algorithms on mobile platforms such as mobile phones

Method used

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  • A Fast Image Denoising Method Based on Nonlocal Mean
  • A Fast Image Denoising Method Based on Nonlocal Mean
  • A Fast Image Denoising Method Based on Nonlocal Mean

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Embodiment Construction

[0066] Exemplary embodiments of the present invention will be described in detail with reference to the following drawings.

[0067] Such as figure 1 , figure 2 and image 3 Shown is a fast image denoising method based on non-local mean value, it is characterized in that, comprises the following steps:

[0068] step one:

[0069] Such as figure 1 As shown, input the original image, its noise model is: V(i)=X(i)+N(i), X(i) is the original image not polluted by noise, N(i) is the mean value is 0, variance for σ 2 Gaussian white noise, V(i) is the contaminated image, I represents the image domain, such as figure 2 As shown, x j is any pixel in the image, with x j Take a search window and a similarity window as the center, the size of the search window is h×h, the size of the similarity window is s×s, x 1 and x h are the first and last pixels in the search window respectively, and traverse all the pixels in the search window; when traversing to the i-th pixel, then use...

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Abstract

The present invention relates to the technical field of image processing, and in particular to a method for fast image denoising based on non-local mean. The present invention provides a method for fast image denoising based on non-local mean, which can quickly perform image denoising and requires less memory. , suitable for real-time denoising on mobile platforms such as mobile phones. The beneficial effects of the present invention are as follows: 1. Compared with the traditional NLM algorithm, the denoising time of the image is greatly reduced, and it can meet the real-time image processing requirements on mobile terminals such as mobile phones; 2. The preferred embodiment given by the present invention can This ensures slight loss of image quality during image denoising.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a fast denoising method for an image based on a non-local mean. Background technique [0002] With the increasing popularity of mobile devices such as smartphones and tablets, and the continuous emergence of a large number of photo mobile Internet App applications such as Instagram, WeChat, and Meitu Xiuxiu, people have become accustomed to using mobile phones to shoot, store and store photos anytime, anywhere in their daily life. Editing photos, multimedia information represented by images is growing explosively, and a large amount of image data has been accumulated. For example, users upload hundreds of millions of photos every day on mobile social platforms such as Facebook and WeChat. However, in the actual shooting process, due to the limitations of computing performance of mobile devices and the high sensitivity of shooting effects to complex scene environments, v...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10004G06T2207/20182G06T5/70
Inventor 周兵韩媛媛吕培徐明亮郭毅博
Owner ZHENGZHOU UNIV