Image de-noising method based on autonomous path block conduction filtering

An image and path technology, applied in the field of image denoising, can solve problems such as limited performance, poor image denoising effect, and difficulty in obtaining denoising effect, and achieve good denoising performance

Active Publication Date: 2018-09-18
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

Classical spatial domain filtering methods include mean filtering, Gaussian filtering and bilateral filtering. These methods can suppress noise to a certain extent, but their performance is limited.
The conduction filtering method proposed in the past two years, such as Jen-Hao Rick Chang, Yu-Chiang Frank Wang, Propagated Image Filtering, The IEEE Conference on ComputerVision and Pattern Recognition (CVPR), 2015, pp.10-18, this method is going to Although the image details can be well preserved while the noise is present, this method is not effective for some texture-rich images due to the use of a fixed conduction path, and because the method uses a point-to-point similarity description, so In the case of strong noise pollution, it is difficult to obtain a satisfactory denoising effect

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  • Image de-noising method based on autonomous path block conduction filtering
  • Image de-noising method based on autonomous path block conduction filtering
  • Image de-noising method based on autonomous path block conduction filtering

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Embodiment Construction

[0031] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0032] refer to figure 1 , the image denoising method of the present invention is to introduce block similarity description and autonomous path into the conduction filter denoising method, and the specific implementation steps include the following:

[0033] Step 1, get the noise-polluted image X in .

[0034] This embodiment adopts the digital image processing standard test image "dollar" as the original image I 0 , the gray value range of the original image is [0,1], and the size is 512*512. By applying Gaussian noise with a mean value of 0 and a variance of 0.005, the noise-contaminated image X is obtained in , as attached figure 2 shown.

[0035] Step 2, Compute the noise-contaminated image X in The autonomous path conduction filter weight ω l,m .

[0036] Noise-contaminated image X for this example in , set the radius R of ...

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Abstract

The invention discloses an image de-noising method based on autonomous path block conduction filtering, wherein the method mainly settles a problem of insufficient retaining performance for detailed information such as same texture by an existing conduction filtering de-noising method. The method comprises the following steps of 1, acquiring a noise polluted image Xin; 2, by means of block similarity description, calculating an autonomous path conduction filtering weight omega1, m of the noise polluted image Xin; and 3, by means of the autonomous path conduction filtering weight omega1, m of the noise polluted image Xin, calculating and outputting a noise-eliminated image Xout according to a filtering formula. The image de-noising method has better de-noising performance and better structure retaining characteristic and can be used for a digital image preprocessing process.

Description

technical field [0001] The invention belongs to the field of digital image processing, and in particular relates to an image denoising method, which can be used in the preprocessing process of digital images. Background technique [0002] In the process of acquisition, transmission and reception of digital images, there will be different degrees of noise, which will reduce the quality of the image and affect the subsequent processing of feature extraction and analysis. Therefore, how to denoise degraded images has always been a hot issue in image preprocessing. Aiming at the problem of image denoising, researchers in this field have carried out a lot of exploration and research, and proposed many noise suppression methods based on digital signal processing technology. [0003] The spatial domain denoising method is relatively simple to calculate and easy to implement in hardware. It is a commonly used image denoising method. Classical spatial domain filtering methods inclu...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/70
Inventor赖睿李永薛肖鹤玲张剑贤周慧鑫秦翰林王炳健
OwnerXIDIAN UNIV