Reference-free image objective quality evaluation method based on gradient self-similarity

A reference image, self-similarity technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of inability to obtain the original image

Inactive Publication Date: 2017-09-08
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Objective evaluation methods can be divided into three categories: full-reference image quality evaluation methods, semi-reference image quality evaluation methods, and no-reference image quality evaluation methods. Therefore, the research of no-reference image quality evaluation method is more practical

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
  • Reference-free image objective quality evaluation method based on gradient self-similarity
  • Reference-free image objective quality evaluation method based on gradient self-similarity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be described in further detail below in conjunction with the embodiments of the drawings.

[0028] The present invention proposes a non-reference image objective quality evaluation method based on gradient self-similarity, and its overall implementation block diagram is as follows figure 1 As shown, it includes the following steps:

[0029] ①Let {I d (x,y)} represents the distorted image to be evaluated, where 1≤x≤W, 1≤y≤H, W represents {I d (x,y)} width, H means {I d (x,y)} height, I d (x,y) means (I d (x,y)} is the pixel value of the pixel at the coordinate position (x,y).

[0030] ②Right {I d (x,y)} implement gradient filtering, get {I d (x,y)} the magnitude image of the gradient information, denoted as {M d (x,y)}, where M d (x,y) means (M d (x,y)} is the pixel value of the pixel at the coordinate position (x,y).

[0031] In this embodiment, in step ②, a gradient filter pair {I d (x,y)} Implement gradient filtering.

[0032] ③Yes {M d (x,y)} Perfo...

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 reference-free image objective quality evaluation method based on gradient self-similarity. According to the process of the method, first, gradient filtering is performed on a to-be-evaluated distorted image to obtain an amplitude image of gradient information; second, information images in four directions are obtained according to the amplitude image of the gradient information, and a self-similarity image between the information image in each direction and the amplitude image is calculated; third, inter-pixel feature extraction method operation and intra-pixel feature extraction method operation are performed on the self-similarity images to obtain an inter-pixel feature graph and an intra-pixel feature graph; fourth, a histogram statistical method is adopted to perform statistical analysis on the inter-pixel feature graph and the intra-pixel feature graph; and last, support vectors are adopted to perform regression prediction on an objective quality evaluation predicted value of the to-be-evaluated distorted image according to histogram statistical feature vectors. The method has the advantages that influences of changes of image gradient self-similarity on visual quality can be fully considered, and therefore the correlation between an objective evaluation result and subjective perception can be effectively improved.

Description

Technical field [0001] The invention relates to an image quality evaluation method, in particular to a non-reference image objective quality evaluation method based on gradient self-similarity. Background technique [0002] Image is an important way for humans to obtain information. Image quality indicates the ability of an image to provide information to people or equipment, and is directly related to the adequacy and accuracy of the information obtained. However, in the process of image acquisition, processing, transmission, and storage, due to various factors, degradation problems will inevitably occur, which brings great difficulties to information acquisition or image post-processing. Therefore, it is very important to establish an effective image quality evaluation mechanism. For example, it can be used for performance comparison and parameter selection of various algorithms in the processing of image denoising and image fusion; it can be used to guide the entire image tran...

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): G06T7/00G06K9/62G06K9/46
CPCG06T7/0002G06T2207/20081G06T2207/30168G06V10/40G06V10/507G06V10/467G06F18/22
Inventor 周武杰邱薇薇周扬赵颖何成迟梁陈芳妮吴茗蔚葛丁飞金国英孙丽慧陈寿法郑卫红李鑫吴洁雯王昕峰施祥
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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