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

A Stereo Video Color Correction Algorithm Based on Homography Matrix

A homography matrix and color correction technology, which is applied in stereoscopic systems, image communications, electrical components, etc., can solve problems such as the inability to maintain time and color consistency

Active Publication Date: 2020-10-09
FUZHOU UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But since color is corrected frame by frame independently, temporal color consistency cannot be maintained

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
  • A Stereo Video Color Correction Algorithm Based on Homography Matrix
  • A Stereo Video Color Correction Algorithm Based on Homography Matrix
  • A Stereo Video Color Correction Algorithm Based on Homography Matrix

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0056] Such as figure 1 As shown, the present embodiment provides a homography-based stereoscopic video color correction algorithm, comprising the following steps:

[0057] Step S1: Acquire the video as the target video, detect the Harris corner feature points in all video frames of the target video, and use the Kanade-Lucas-Tomasi (KLT) algorithm to match and sum the feature points between all adjacent video frames track;

[0058] Step S2: according to the matching feature points between two adjacent video frames calculated in step S1, obtain the motion trajectory of each feature point, and then select a feature points (choose the previous a long relative to the back) motion track);

[0059] Step S3: using the random sampling consensus algorithm, calculating the homography matrix between two adjacent video frames through the a feature points selecte...

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 relates to a stereo video color correction algorithm based on homography matrixes. The algorithm comprises the following steps: firstly, detecting Harris corner feature points in all video frames of a target video, and matching and tracking the feature points between all adjacent video frames by using a Kanade-Lucas-Tomasi (KLT) algorithm; secondly, obtaining motion trajectories of each feature point according to the matching feature points between adjacent video frames, and then selecting a feature points; then, calculating the homography matrixes between two adjacent frames through the selected a feature points by using a random sample consensus algorithm (RANSAC); finally, correcting the color of the first frame in the target video by using an image color correction algorithm; and correcting the colors of the second frame and subsequent frames after the second frame in the target video according to the solved homography matrixes. The algorithm can achieve good color correction results for color-distorted stereoscopic videos, so that the corrected target video and reference video maintain time and spatial color consistency.

Description

technical field [0001] The invention relates to the fields of image and video processing and computer vision, in particular to a stereoscopic video color correction algorithm based on a homography matrix. Background technique [0002] With the development of stereoscopic displays, stereoscopic movies and videos have also developed, and more and more people like the sense of reality brought by the stereoscopic depth in stereoscopic videos. However, the left and right views with inconsistent colors will reduce the encoding efficiency of the video, and it is easy to make the depth information of the synthesized video inaccurate, thus causing visual fatigue to the viewer. Therefore, in order to reduce the inconsistency of view colors in video and improve the efficiency of video coding, scholars have proposed many color correction algorithms. [0003] Based on the number of color mapping functions, color correction algorithms can be classified into global color correction algori...

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): H04N13/15H04N13/106
CPCH04N2013/0074H04N2013/0077
Inventor 陈羽中范媛媛郑晓华
Owner FUZHOU 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