Image Denoising 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: 2021-10-29
XIDIAN UNIV
View PDF10 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
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
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0031] The present invention will be specifically described below with reference to the accompanying drawings and specific examples.
[0032] Refer figure 1 The image denoising method of the present invention is to introduce a block similarity description and autonomous path into a conductive filtering denoising method, and the specific implementation steps include:
[0033] Step 1, get noise pollution image X in .
[0034] This embodiment uses a digital image processing standard test image "Dollar" as the original image i. 0 The original image gradation value ranges [0, 1], the size is 512 * 512, by applying average value of 0, the variance is 0.005, to obtain noise contamination image X in Attach figure 2 Indicated.
[0035] Step 2, calculate the noise pollution image X in Autonomous path transmission filter weight Ω l,m .
[0036] Noise contamination image X for this example in , Set the radius r of 5 and the Gaussian convolutionary core of the pass filter frame 5, calculate th...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an image denoising method based on block conduction filtering of an autonomous path, which mainly solves the problem that the existing conduction filter denoising method has an unsatisfactory performance of maintaining detail information such as certain textures. Its implementation steps are: 1. Obtain the noise pollution image X in ; 2. Use block similarity description to calculate noise-contaminated image X in The autonomous path conduction filter weight ω l,m ; 3. Contaminate the image X with noise in The autonomous path conduction filter weight ω l,m , calculate and output the denoised image X according to the filtering formula out . The invention has better denoising performance and structure preservation characteristics, and can be used in the preprocessing process of digital images.
Description
Technical field [0001] The present invention belongs to the field of digital image processing, and more particularly to an image denoising method, a pretreatment process of a digital image. Background technique [0002] Digital images will have varying degrees of noise during access, transmission, and reception, so that image quality is lowered, affecting subsequent feature extraction and analysis. Therefore, how to decorate the denometer image, which has always been a hot problem of image pretreatment. For image denoising problems, researchers in this field have conducted a lot of exploration and research, and many noise suppression methods based on digital signal processing techniques are proposed. [0003] Spatial Deno noise method is relatively simple, easy to implement, is a relatively common type of image denoising method. The classic spatial field filtering method includes a mean filtering method, Gaussian filtering method, and bilateral filtering method, which can suppres...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & AuthorityPatents(China)
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