Stereo image objectivity quality evaluation method based on visual perception

A technology of stereo image and evaluation method, applied in image analysis, image data processing, instruments, etc., can solve problems such as poor consistency and no consideration of stereo depth perception characteristics of human visual perception characteristics.

Inactive Publication Date: 2012-09-12
NINGBO UNIV
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the objective quality evaluation of stereoscopic images is mainly based on the migration of planar image quality evaluation algorithms, without considering the unique depth perception character

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
  • Stereo image objectivity quality evaluation method based on visual perception
  • Stereo image objectivity quality evaluation method based on visual perception
  • Stereo image objectivity quality evaluation method based on visual perception

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0054] The present invention proposes a method for evaluating the objective quality of stereoscopic images based on visual perception, which fully considers the characteristics of human visual perception, evaluates the image quality of the left and right viewpoints and the stereoscopic perception quality of the stereoscopic images, and evaluates the image quality and depth of the left and right viewpoints. The perceptual quality is non-linearly weighted to obtain the final quality evaluation value of the stereoscopic image. figure 1 The overall realization block diagram of the method of the present invention is provided, and it specifically comprises the following steps:

[0055] ① Order S org To be the original undistorted stereo image, let S dis For the distorted stereo image to be evaluated, the original undistorted stereo image S org L ...

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 stereo image objectivity quality evaluation method based on visual perception. Based on two parts of a left and right viewpoint image quality and depth perception, the left and right viewpoint image quality is used to capture multi-scale structure information so that a difference of a structure similarity of an original and distortion stereo image pair can be effectively reflected. The stereo depth perception is caused by the subtle difference existed in the image seen by left and right eyes of human beings. Through comparing a brightness distortion of original and distortion absolute difference value images, a structure distortion and a sensitivity distortion, a depth perception evaluation value can be acquired. Then, nonlinear fitting is performed on the evaluation values of the two parts so as to obtain a final stereo image quality evaluation index. Because the method combines the specific depth perception characteristic of the stereo image and a objective evaluation model result of the image quality loss characteristic, the quality of the stereo image and the depth perception can be reflected. Therefore, the evaluation result can objectively reflect stereo image processing or influence of a compression algorithm on stereo image quality change.

Description

technical field [0001] The invention relates to a stereoscopic image quality evaluation technology, in particular to an objective quality evaluation method of a stereoscopic image based on visual perception. Background technique [0002] With the rapid development of Internet, communication and multimedia information technology, stereoscopic images that enhance visual fidelity and presence are the development direction of next-generation digital media technology. At the same time, the market's demand for the development and application of stereoscopic video systems is becoming more and more urgent, such as in stereoscopic digital TV, distance education, remote industrial control, 3D video conferencing systems, virtual reality systems, telemedicine, remote control robots, automatic navigation, consumer Electronics and many other fields have broad application prospects. Stereoscopic image quality evaluation plays an important role in the related fields of image processing, an...

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): G06T7/00G06T7/11G06T7/136G06T7/174
Inventor 郁梅毛香英蒋刚毅周俊明李福翠邵枫彭宗举
Owner NINGBO 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