Supercharge Your Innovation With Domain-Expert AI Agents!

Method and system for realizing video image processing by noise analysis

A technology for video image and noise analysis, applied in image data processing, image enhancement, image analysis, etc., to facilitate analysis and processing, and achieve the effect of clear display

Pending Publication Date: 2021-04-13
苏州启阳半导体科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the video image processing process of the prior art, the noise analysis finds that the noise will increase with the increase of the brightness. Therefore, the prior art still has defects and needs to be improved and developed.

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
  • Method and system for realizing video image processing by noise analysis
  • Method and system for realizing video image processing by noise analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Preferred embodiments of the present invention are described in detail below.

[0026] The invention discloses a method and system for implementing noise analysis for video image processing, such as figure 1 with figure 2 As shown, its method includes the following steps:

[0027] A. When sampling data, the pixels of the odd scanning lines are repeatedly taken as R and G, and the pixels of the even scanning lines are repeatedly taken as G and B;

[0028] B. Convert the captured video to YUV 4:2:0 format;

[0029] C. Use the histogram equalization algorithm to perform single-frame enhancement processing on the captured video.

[0030] The video sequence taken by the device of the present invention, such as a camera, can be output in RayerRG12 format, with 12 bits for each sampling value and a resolution of 1280×720, i.e. the sum of RGB sampling points, sampling at a frame rate of 25 fps. In the implementation method for noise analysis of the present invention for vi...

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 discloses a method and system for realizing video image processing through noise analysis, and the method comprises the following steps: sequentially and repeatedly taking pixels of odd scanning lines as R and G, and sequentially and repeatedly taking the pixels of even scanning lines as G and B during data sampling; converting the shot video into a YUV 4: 2: 0 format; and carrying out single-frame enhancement processing on the shot video by adopting a histogram equalization algorithm. According to the method and system for realizing video image processing through noise analysis, due to the fact that the histogram equalization algorithm is adopted for conducting single-frame enhancement processing on the shot video, analysis and processing of dazzle light and other noise of the shot video are facilitated, and clear display of images is achieved.

Description

technical field [0001] The invention relates to a software implementation method and system for video image processing, in particular to a software implementation method and system improvement for video image processing using noise analysis. Background technique [0002] In the video sequence shot by the camera in the prior art, the output format generally adopts the BayerRG12 format. The processing principle of the Bayer format image is based on the characteristics of large-area coloring with low response bandwidth of the human eye to color. It is not necessary for each pixel to output three kinds of images at the same time. color. Therefore, during data sampling, the 1st, 2nd, 3rd, 4th, ... pixels of odd scanning lines sample and output R, G, R, G, ... data respectively, while the 1st, 2nd, 3rd, 4th, ...the pixels sample and output G, B, G, B, ... data respectively. Such as figure 1 As shown, each sampling value is 12 bits, the resolution is 1280X720 (the sum of RGB sam...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20032G06T2207/10016G06T5/80G06T5/70
Inventor 冯艺妍陈百川赵海武郑鸿
Owner 苏州启阳半导体科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com