A Stereo Image Synthesis Method Based on Mapreduce Model

A mapreduce framework and stereoscopic image technology, applied in the field of image processing, can solve problems such as unsatisfactory requirements, and achieve the effects of improving processing speed and efficiency, facilitating parallel processing, and facilitating adjustment

Inactive Publication Date: 2018-11-27
TIANJIN UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past, the research was often limited to the image processing of small data volume, but with the continuous growth of image data volume, the image processing of small data volume in stand-alone mode is far from meeting the requirements.

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 Image Synthesis Method Based on Mapreduce Model
  • A Stereo Image Synthesis Method Based on Mapreduce Model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The basic idea of ​​the method proposed by the present invention is: the present invention uses the Hadoop platform specially used for big data processing to carry out the image processing process. Using the MapReduce model for distributed programming, the average information map synthesis algorithm is combined with the Map and Reduce process, and the parallel calculation is used to obtain the stereoscopic image. In order to optimize the display effect of the stereoscopic image, the adaptive adjustment of the horizontal pixel difference is added, and the parameters are continuously fed back during the stereoscopic image synthesis process to optimize the stereoscopic synthesis process. Before the final output, edge sharpening is performed to solve the problem of edge blur introduced by the average information graph algorithm. The overall schematic diagram of the scheme is as follows figure 1 ,Specific steps are as follows:

[0024] 1 Raw image pair data preparation

...

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 image synthesis method based on a MapReduce model. The stereo image synthesis method comprises the following steps: (1) preparing original image pair data; (2) calculating an average horizontal pixel difference; (3) carrying out a map process; (4) carrying out a reduce process, by taking both an average information image in (3) and an original image pair in (1) as input, realizing stereo image synthesis through the overlapping of pixel columns, and meanwhile, regulating a stereo image synthesis effect by taking the average horizontal pixel difference as an overlapping benchmark; and (5) carrying out edge sharpening. The stereo image synthesis method has the advantages of high efficiency and practicality.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a stereoscopic image synthesis method. Background technique [0002] Stereoscopic display technology is the third generation of multimedia display technology following the first generation of black and white display technology and the second generation of color display technology, which can bring great visual enjoyment to users. Stereoscopic image synthesis refers to the process of processing two-dimensional images through computer image processing algorithms to obtain stereoscopic images. Stereoscopic image synthesis has become a research hotspot in the field of computer research. [0003] Cloud computing is an emerging computing model, which provides several times or even tens of times of computing performance through distributed, parallel, and modular methods, and can be used to solve the bottleneck problem of image processing in stand-alone mode. Hadoop is an open so...

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): G06T5/50G06T17/00
CPCG06T5/50G06T17/00
Inventor 侯春萍王李坤王宝亮常鹏
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap