An Objective Evaluation Method of Stereoscopic Image Quality Based on Visual Characteristics

A technology for objective quality evaluation and stereoscopic images, applied in image analysis, image data processing, instruments, etc., can solve problems such as lack of

Active Publication Date: 2016-02-24
宁波瑞艺塑业有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently a lack of effective objective evaluation methods to evaluate the quality of stereoscopic images.

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
  • An Objective Evaluation Method of Stereoscopic Image Quality Based on Visual Characteristics
  • An Objective Evaluation Method of Stereoscopic Image Quality Based on Visual Characteristics
  • An Objective Evaluation Method of Stereoscopic Image Quality Based on Visual Characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0060] A kind of stereoscopic image quality objective evaluation method based on visual characteristics proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0061] ① Order S org To be the original undistorted stereo image, let S dis For the distorted stereo image to be evaluated, set S org The left view image of is denoted as {L org (x,y)}, the S org The right view image of is denoted as {R org (x,y)}, the S dis The left view image of is denoted as {L dis (x,y)}, the S dis The right view image of is denoted as {R dis (x, y)}, where (x, y) represents the coordinate position of the pixel in the left-viewpoint image and the right-viewpoint image, 1≤x≤W, 1≤y≤H, W represents the left-viewpoint image and the right-viewpoint The width of the image, H rep...

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 three-dimensional image objective evaluation method based on visual characteristics. Frequency responses, corresponding to different center frequencies and directivity factors, of all pixels of left and right viewpoint images of a three-dimensional image are calculated, the three-dimensional image is divided into a shielding region and a binocular fusing region according to a region detection method, the two regions are evaluated respectively through monocular vision characteristics and binocular vision characteristics, and evaluation results are integrated to obtain the predicted final objective image quality evaluation value. The three-dimensional image objective evaluation method has the advantages that the obtained frequency responses corresponding to the different frequencies and directivity factors can well reflect the visual perception characteristics of human visual systems; because monocular vision characteristics and binocular vision characteristics are respectively used for evaluation, the relevance of objective evaluation results and subjective perceptions can be effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective evaluation method for stereoscopic image quality based on visual characteristics. Background technique [0002] With the rapid development of image coding technology and stereoscopic display technology, stereoscopic image technology has received more and more attention and applications, and has become a current research hotspot. Stereoscopic image technology utilizes the binocular parallax principle of the human eye. Both eyes independently receive left and right viewpoint images from the same scene, and form binocular parallax through brain fusion, so as to enjoy a stereoscopic image with a sense of depth and realism. Because the stereoscopic image is affected by the acquisition system, storage compression and transmission equipment, it will inevitably introduce a series of distortions. Compared with the single-channel image, the stereoscopic image needs to ensu...

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): G06T7/00
Inventor 邵枫胡朝正蒋刚毅郁梅李福翠彭宗举
Owner 宁波瑞艺塑业有限公司
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