Ultrahigh definition video image quality objective evaluation method based on visual perception characteristic

An objective evaluation method and visual perception technology, applied in image communication, television, electrical components, etc., to achieve the effect of improving consistency

Inactive Publication Date: 2014-10-01
COMMUNICATION UNIVERSITY OF CHINA
View PDF2 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the problem that the current objective evaluation method of image quality is not fully applicable to ultra-high-definition video, the present invention proposes an objective evaluation method of ultra-high-definition video image quality based on visual perception characteristics on the basis of the SSIM model

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
  • Ultrahigh definition video image quality objective evaluation method based on visual perception characteristic
  • Ultrahigh definition video image quality objective evaluation method based on visual perception characteristic
  • Ultrahigh definition video image quality objective evaluation method based on visual perception characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] A method for objectively evaluating the image quality of ultra-high-definition video based on visual perception characteristics, which considers the spatial and temporal characteristics of ultra-high-definition video, and is characterized in that it includes the following steps:

[0028] Step 1, divide each frame of image in ultra-high-definition video into 16×16 blocks, and obtain the structural similarity value of each block, that is, SSIM.

[0029] The method of finding SSIM is as follows figure 1 shown. First, each frame image in the ultra-high-definition video sequence is divided into 16×16 blocks (that is, macroblocks), and the brightness change information of the original image and the distorted image of each macroblock are respectively extracted, and then the contrast change information of the image is extracted. Then extract the structural change information of the image, and compare the similarity of the above three extracted changes, and finally synthesize t...

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 an ultrahigh definition video image quality objective evaluation method based on the visual perception characteristic. The method includes the steps of conducting 16*16 partitioning on each frame of an input original ultrahigh definition video sequence and each frame of a damaged ultrahigh definition video sequence so as to obtain macro blocks, obtaining the structural similarity value SSIMij of each block, calculating the weight wij of each macro block in an ultrahigh definition video image, conducting weighting on the SSIMij value of each macro block of the current frame through the corresponding wij so as to obtain the ultrahigh definition image quality of the single frame, and conducting weighting on the image quality of each frame of the whole video sequence so as to obtain an image quality objective evaluation result of the whole video sequence. According to the method, on the basis of an existing SSIM algorithm, luminance cover factors, texture complexity and movement information are taken into consideration, high definition and human eye vision characteristics of an ultrahigh definition video are taken into consideration as well, and weighting is conducted on spatial position information. The experiments show that compared with the traditional SSIM algorithm, the method has the advantage that consistency with the subjective evaluation result is greatly improved.

Description

technical field [0001] The invention belongs to the field of computer digital video image processing, and relates to an objective evaluation method of ultra-high-definition video image quality based on visual perception characteristics. Background technique [0002] People's pursuit of high-quality picture and sound is never-ending. In recent years, with the rapid development of video coding and network technology, people are no longer satisfied with the image quality of HDTV, but instead pursue the next-generation TV format with more presence and higher definition. As a result, Ultra High Definition Television (UHDTV), a television standard with a larger viewing angle and higher resolution than HDTV, was born. Ultra-high-definition television is a system with extremely high picture clarity and powerful surround sound effects. Its goal is to provide viewers with a high sense of reality and presence. Recommendation ITU-R BT.2020 "Parameter values ​​for UHDTV systems for pr...

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 Applications(China)
IPC IPC(8): H04N17/00
Inventor 许江波姜秀华
Owner COMMUNICATION UNIVERSITY OF CHINA
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