Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Method and Device for Image Definition Evaluation Based on Sparse Representation

A technology of image clarity and evaluation method, which is applied in image analysis, image data processing, instruments, etc., can solve problems such as accuracy needs to be improved, and achieve the effect of superior performance, good consistency, and accurate evaluation method

Inactive Publication Date: 2017-04-19
CHINA UNIV OF MINING & TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned no-reference image sharpness evaluation method extracts image features in the spatial domain and frequency domain, and the evaluation accuracy needs to be improved

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
  • A Method and Device for Image Definition Evaluation Based on Sparse Representation
  • A Method and Device for Image Definition Evaluation Based on Sparse Representation
  • A Method and Device for Image Definition Evaluation Based on Sparse Representation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0063] 1): Over-complete dictionary

[0064] Select ten color natural images as training images and grayscale them; randomly extract 1000 8*8 image blocks from each image, a total of 10000 8*8 image blocks, and subtract the average value of each block Arrange row by row from one-dimensional column vectors in the same matrix to form the training signal Y ∈ R 64*10000 ;Dictionary learning algorithm pairs the extracted training signal Y∈R 64*10000 After training and learning, a complete dictionary D∈R is obtained 64*256 The described dictionary learning algorithm is in the literature: H. Lee, A. Battle, R. Raina and AYNg, "Efficient sparse coding algorithms," in Proc.Adv.NeuralInf.Process.Syst.,pp.801-808, 2007, the dictionary learning algorithm expressed. Such as Figure 5 Shown.

[0065] 2): Gradient and variance of each image block

[0066] To grayscale the image to be evaluated, skip this step if the image to be evaluated is a grayscale image; perform non-overlapping 8*8 block of ...

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 image definition evaluation method and an image definition evaluation device based on sparse representation, and belongs to the image definition evaluation method and the image definition evaluation device. The method comprises the following steps that: color natural images are subjected to graying; a great number of image blocks with the same size are randomly extracted from the color natural images to be used as training signals; an overcomplete dictionary capable of expressing image internal medium-high-layer features can be obtained on the training signals by using a dictionary learning algorithm; images to be evaluated are blocked; the blocking size is identical to that of the training signals; the gradient and the variance of each image block are calculated; on the trained overcomplete dictionary, each image block gradient signal is subjected to sparse decomposition to obtain a sparse representation coefficient of the signal; the energy of each image block is pressed by L2 normal number quadratic sum of each line of elements in a sparse representation coefficient matrix; the energy of the image blocks is subjected to sequencing from great to small; the image blocks with greater energy are selected, the energy of the image blocks is subjected to normalization processing by using the corresponding variance, and the mass fraction of the images to be evaluated is obtained; and the image definition is evaluated according to the mass fraction of the images to be evaluated.

Description

Technical field [0001] The invention relates to an image definition evaluation method and device, in particular to an image definition evaluation method and device based on sparse representation. Background technique [0002] With the widespread application of image information technology, image quality evaluation has become a broad and basic issue. Image is a very important way for us to recognize, so the processing of image information has become an indispensable means in various fields. However, in the process of image processing and transmission, the image will inevitably be distorted and degraded, which brings great problems for people to understand the objective world and research and solve problems. Therefore, the reasonable evaluation of the image is of great significance. In recent years, with the development of image processing technology, this field has attracted wide attention from researchers. [0003] At present, image quality evaluation methods are divided into su...

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 李雷达吴东周玉祝汉城蔡浩
Owner CHINA UNIV OF MINING & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com