Video image denoising processing method and apparatus

A technology of video image and processing method, which is applied in the field of image processing, and can solve problems such as loss of high-frequency signals, error in similarity measurement of video image blocks, and reduction of the effect of noise removal.

Active Publication Date: 2016-02-17
PEKING UNIV +2
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above non-local mean method is based on the structural self-similarity of the video image in the time-space domain, and uses the weighted average of the gray value of the current pixel and all pixels in the video image that are similar to the current pixel structure to construct a noise-reduced video image. , but in this way, various noises in the video image will cause errors in the similarity measure of the

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video image denoising processing method and apparatus
  • Video image denoising processing method and apparatus
  • Video image denoising processing method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] figure 1 It is a flowchart of Embodiment 1 of the video image denoising processing method of the present invention, as figure 1 As shown, the method includes:

[0020] Step 101, using a preset denoising algorithm to perform pre-denoising processing on the first video image to be processed to obtain a reference video image;

[0021] Step 102: For the image block to be processed in the current frame image in the first video image, determine a reference image block group in the reference video image that has similarity with the image block corresponding to the image block to be processed, so The reference image block group includes similar image blocks in the frame image corresponding to the current frame image, and similar image blocks in each frame image adjacent to the current frame image within a certain number of frames;

[0022] Step 103: Map the coordinate position relationship of the reference image block group from the reference video image to the first video im...

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

No PUM Login to view more

Abstract

The invention provides a video image denoising processing method and an apparatus. The method comprises the following steps of using a preset denoising algorithm to carry out pre-denoising processing on a first video image to be processed so as to acquire a reference video image; determining a reference image block group possessing a similarity with an image block corresponding to an image block to be processed in the reference video image, mapping a coordinate position relation of the reference image block group into the first video image from the reference video image so as to acquire an image block group which is similar with the image block to be processed; and carrying out low rank approximation processing on the image block group in the first video image so as to acquire a second denoising video image. The reference video image after pre-denoising processing is taken as a basis of similarity measurement so that a similarity measurement result is accurate and quality of the final second denoising video image can be guaranteed. Based on a low rank approximation mode, the final second denoising video image is acquired so that a denoising effect of the video image is increased.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a video image denoising processing method and device. Background technique [0002] In real life, because video can convey information about objects intuitively, vividly and vividly, it occupies an extremely important position in multimedia systems. However, video images are often disturbed by various noises during acquisition, transmission, reception, and processing, such as photon and dark shot noise, amplifier noise, readout noise, and quantization noise. All kinds of noises degrade the quality of video images and negatively affect the subsequent processing quality of video images to a large extent. In order to improve the effectiveness and reliability of subsequent processing of video images, it is necessary to use video image denoising methods to eliminate various noises in video images. [0003] Various existing video image denoising methods can be di...

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
no application Login to view more
IPC IPC(8): H04N5/21
Inventor 章勇勤郭宗明刘家瑛
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap