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

Multi-view image color correction method based on visual perception

A multi-viewpoint image and color correction technology, applied in the direction of color signal processing circuits, etc., can solve the problems of correcting image subjective visual deviation, poor robustness of color correction method, poor visual comfort of corrected image, etc.

Inactive Publication Date: 2010-06-09
NINGBO UNIV
View PDF0 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the above-mentioned color correction method uses the same mapping relationship for different visual perception areas, this will lead to a large deviation in the subjective vision of the corrected image, resulting in poor visual comfort of the corrected image; in addition, the above-mentioned color correction method less robust

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
  • Multi-view image color correction method based on visual perception
  • Multi-view image color correction method based on visual perception
  • Multi-view image color correction method based on visual perception

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0089] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0090] Existing various color correction methods such as area matching, feature matching or histogram matching do not fully consider the sensitivity of the human eye to brightness and chromaticity and the degree of attention of the human eye to different areas, but the different visual The perception area adopts the same mapping relationship, which will lead to a large deviation in the subjective vision of the corrected image. However, in fact, the subject of evaluating the final result of the image is the human eye. The subjective perception experiment of the image shows that the human eye's perception of the image is limited, non-uniform and non-linear, and it is sensitive to some changes in the image Not perceptible, but pays attention to some salient object areas in the image. The change that the human eye cannot perceive is called the sh...

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 multi-view image color correction method based on visual perception, comprising the following steps of: firstly extracting significance distribution maps of a target image and a source image; then extracting visual attention areas of the target image and the source image by estimating a Gaussian mixture model; obtaining accurately matched pixel point pair sets of the source image and the target image by a parallax matching algorithm; obtaining correction matrixes of the visual attention areas by a linear regression algorithm; obtaining a final correction matrix by adopting linear weighting; and finally further refining a visually sensitive area of a correction image. The invention ensures the accuracy of multi-view image color correction and also enhances the robustness of the multi-view image color correction method and the visual comfort level of the correction image.

Description

technical field [0001] The invention relates to a method for processing multi-viewpoint images, in particular to a method for color correction of multi-viewpoint images based on visual perception. Background technique [0002] The multi-viewpoint video system can provide users with multiple viewing angles of video content. Users can choose different viewing angles according to their personal preferences, and change the viewing angles at will during the viewing process. Therefore, the multi-viewpoint video system is adopted by the international standard organization MPEG (Moving Picture Experts Group, Moving Picture Experts Group) is called the development direction of the next generation video system. Typically, multi-view video systems such as figure 1 As shown, it consists of the following parts: video capture, preprocessing, multi-view video encoder, multi-view video decoder, virtual view rendering and display part. Video capture is usually achieved by a multi-viewpoint...

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): H04N9/64
Inventor 邵枫郁梅蒋刚毅
Owner NINGBO 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