Image quality objective evaluation method based on human eye visual characteristics

An objective evaluation method and image quality technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of not reflecting the subjective feeling of the image well, not fully considering the pixel correlation and human visual characteristics, etc.

Inactive Publication Date: 2011-08-03
NINGBO UNIV
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional evaluation method is based on pixel error statistics, which does not fully consider the correlation between pixels and the visual characteristics of the human eye, and cannot well reflect people's subjective feelings on 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
  • Image quality objective evaluation method based on human eye visual characteristics
  • Image quality objective evaluation method based on human eye visual characteristics
  • Image quality objective evaluation method based on human eye visual characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0021]The objective evaluation method of image quality based on human visual characteristics of the present invention mainly considers the influence of the change of the gradient phase information of the distorted image on its quality, and the determination of the weight of each pixel is based on the brightness nonlinear characteristics of the image and such as figure 1 The contrast sensitivity function of the human visual properties shown, figure 2 Provided the overall realization block diagram of the inventive method, specifically comprises the following steps:

[0022] ①Order (I o (i, j)} represents a reference image of size W×H, {I d (i, j)} represents a distorted image with a size of W×H, 0 It should be noted here that, when adopting the method of the present invention to carry out quality evaluation to color image, {I o (i,j)} and {I...

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 an image quality objective evaluation method based on human eye visual characteristics, which comprises the following steps: carrying out the visual weighting to the gradient phase information distortion degree of a distorted image by utilizing the image gradient amplitude information and in combination with the bandpass characteristics and the brightness sensitivity characteristics of contrast sensitivity functions of a human eye visual system; and reflecting the quality change of the image through the weighting distortion degree. The image quality objective evaluation method has the advantages that when the gradient phase information of the distorted image is changed, the effect on the quality of the image is considered; and the gradient amplitude information andthe human eye visual characteristics are combined so as to lead the evaluate results to be consistent with the subjective feeling of people, therefore, the subjective perception results of human eyesare better reflected.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective image quality evaluation method based on human visual characteristics. Background technique [0002] Image quality is an important indicator related to image processing performance, so the research on image quality evaluation methods is an important research content in this field. Since the final recipient of the image is a human being, the visual characteristics of the human eye should be fully considered when evaluating the image quality. Traditional evaluation methods such as PSNR and other indicators have been widely used in image processing and coding technologies due to their low computational complexity and clear mathematical meaning. However, the traditional evaluation method is based on pixel error statistics, which does not fully consider the correlation between pixels and the visual characteristics of human eyes, and cannot well reflect people's subje...

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): G06T7/00
Inventor 蒋刚毅周武杰郁梅彭宗举邵枫
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