Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Real-time enhanced processing system for foggy continuous video image

A technology for video image and enhancement processing, applied in image enhancement, image data processing, components of TV systems, etc., can solve problems such as the deterioration of regional imaging quality, and achieve rich image details, enhanced image contrast, and good effects.

Inactive Publication Date: 2014-03-26
SICHUAN UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the global processing of images, the algorithm is usually relatively simple, but the imaging quality of some areas will deteriorate due to the inadaptability of the selected parameters to the local area.

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
  • Real-time enhanced processing system for foggy continuous video image
  • Real-time enhanced processing system for foggy continuous video image
  • Real-time enhanced processing system for foggy continuous video image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0064] The following examples are according to the present invention Figure 5 Schematic diagram of the overall flow of the software, which performs real-time enhanced processing on continuous video images in foggy days, including the following steps:

[0065] The first step is to divide the video image into frames

[0066] First, the video image to be processed is divided into basic frames and subsequent frames;

[0067] The second step is to set the number of transition points and establish a color channel mapping table library

[0068] Set a transition point at intervals of 10 for video image grayscale values ​​within the range of 40-80, a total of 5, and set transition points at intervals of 5 for image grayscale values ​​within the range of 80-120, a total of 8 Set a transition point every 10 intervals in the gray value of the image in the range of 120-255, a total of 13; set a total of 26 transition points, each transition point corresponds to a membership function and...

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 block processing and fuzzy algorithm-based real-time enhanced processing system for a foggy continuous video image. The image is divided into a base frame and a follow-up frame; block processing is performed on the base frame; a transit point and a membership function are matched for each subblock; then, the image is transformed into a fuzzy domain from a spatial domain; nonlinear transformation enhancement is performed on the fuzzy domain to obtain a color channel mapping table for a red (R) channel, a green (G) channel and a blue (B) channel of each subblock before and after the image is enhanced; finally, the image is inversely transformed back to the spatial domain; and the follow-up frame is processed according to the base frame to directly enhance the image or update the base frame. The block processing of the processing system disclosed by the invention is more real-time than global processing. The distortion of the image is reduced while the detail of the image is protruded; a visual effect of the continuous video image is improved under the foggy condition; the picture contrast of the image is enhanced, and the quality of the image can be ensured; and the requirements of required real-time clear image information and a monitoring effect can be completely met.

Description

technical field [0001] The invention relates to a video image enhancement technology, in particular to a real-time enhancement processing system for foggy continuous video images based on block processing and fuzzy algorithms, and belongs to the technical field of image restoration and image enhancement. Background technique [0002] Image quality directly affects the later image analysis, so people often use digital image processing to improve image quality. In foggy days, the smog permeating the air greatly reduces the visibility of the scene, making the details of the scene unrecognizable, the traffic control department cannot obtain clear real-time image information, and the security monitoring cannot achieve the desired effect, etc. to have serious repercussions. Therefore, improving the visibility of foggy video images and enhancing the clarity of foggy continuous video images has become one of the problems to be solved urgently in the outdoor real-time image processi...

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 Patents(China)
IPC IPC(8): H04N5/21G06T5/00
Inventor 吴炜何小海何艳黄晓强李军华陈英涛杨宗瑞
Owner SICHUAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com