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

A binocular stereo image encoding and decoding method based on motion compensation

A technology of binocular stereo and decoding method, which is applied in the direction of image communication, stereo system, electrical components, etc. It can solve the problems of complex algorithm of accurate parallax information, large amount of parallax information, and low compression rate, etc., and achieve small data volume and decoding speed Fast, fast compression effects

Inactive Publication Date: 2018-01-09
NANJING UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The problem to be solved by the present invention is: the existing binocular stereoscopic image compression coding technology has the disadvantages of low compression rate or complex algorithm for obtaining accurate parallax information, long calculation time, and large amount of parallax information

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 binocular stereo image encoding and decoding method based on motion compensation
  • A binocular stereo image encoding and decoding method based on motion compensation
  • A binocular stereo image encoding and decoding method based on motion compensation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention provides a fast encoding method of binocular stereo images based on motion compensation. And use C++ programming language to realize a binocular stereo image coding system with graphical interface display. The functions of the system include inputting the left and right images and displaying them on the main interface, encoding the stereo images and displaying the intermediate results of each step, decoding and displaying the left and right images, and calculating the peak signal-to-noise ratio of the decoded left and right images. Such as image 3 It shows the left and right grayscale images in Teddy in the input Middlebury dataset. The Middlebury data set is a test data set about computer vision.

[0033] The specific implementation steps of the present invention are as follows:

[0034] 1) figure 1 It is the encoding process of the binocular stereo image in the method of the present invention.

[0035] Input the left image and right image of the Te...

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 fast encoding and decoding method for binocular stereo images based on motion compensation. This method first obtains the motion vector by performing motion estimation based on a fixed block size on the left and right images, then uses the motion vector and the left image to predict the right image, and makes a difference between the right image and the predicted value to obtain the prediction error, that is, the residual image, and then calculates the residual image Image, the left image is encoded by jpeg2000, and the motion vector is encoded by DPCM prediction and output. The estimation of the motion vector adopts half-pixel precision, and the half-pixel precision can make the prediction more accurate than the whole-pixel precision. In the actual encoding process, the decoded left image is used to predict the right image based on motion compensation, which can avoid the compression distortion of the left image being brought into the right image. This method has the advantage of being fast and can meet the requirements of fast encoding and decoding.

Description

Technical field [0001] The invention belongs to the field of computer technology and relates to multimedia data compression coding in multimedia technology. It is a motion compensation-based coding and decoding method for binocular stereo images. According to the principle of binocular stereo vision, the redundant pair of content between left and right images is used. The image is compressed. Background technique [0002] Stereo vision is a popular direction that has emerged in recent years. With the popularization of 3D movies and 3D televisions, stereo vision has become more and more widely used in people's daily lives. The amount of ordinary multimedia data, including images, audio, and video, is very large. Usually, a common common media format (CIF) video file with a screen size of 352×288 will occupy 35 Mbps of bandwidth without compression. In HDTV, the bit rate will exceed 1Gbps. For 3D stereoscopic video images, the amount of data in the uncompressed condition will be...

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): H04N13/00
Inventor 武港山周振
Owner NANJING 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