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

Image fractal feature based objective image quality evaluation method

An objective evaluation method and fractal feature technology, applied in the field of image processing, can solve problems such as insufficient understanding and research, lack of image prior knowledge, slow research progress, etc., and achieve good image quality evaluation results

Inactive Publication Date: 2015-07-22
ZHEJIANG UNIV
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, due to the lack of prior knowledge of images, and the lack of understanding and research on the human visual system, visual physiology and psychology, statistical characteristics of natural images, and image quality at this stage, the research progress of image quality evaluation without reference is relatively slow.

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 fractal feature based objective image quality evaluation method
  • Image fractal feature based objective image quality evaluation method
  • Image fractal feature based objective image quality evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0050] like figure 1 As shown, the objective evaluation method of image quality based on image fractal features, its specific implementation steps are as follows:

[0051] Step (1). Programming is performed under the Matlab environment, the original pictures in the known database—the LIVE image database of the University of Texas at Austin are sequentially numbered, and 29 original images are read in a loop.

[0052] Step (2). Calculate the fractal dimension of the original image read in in step (1) respectively.

[0053] The calculation of the fractal dimension adopts the box notation method, converts the original image into a binary image, and then calculates the fractal dimension by dividing the grid and counting, as follows:

[0054] Cover the original image with a box with a side length r, and then calculate the number of boxes N(r) corresponding t...

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 fractal feature based objective image quality evaluation method. The image fractal feature based objective image quality evaluation method includes the following steps: 1, in a preprocessing step, training and fitting an original image in a public knowledge database to acquire basic feature information, namely a fractal dimension matrix and a multi-fractal spectrum, of image quality evaluation; 2, calculating image feature information such as the fractal dimension matrix and the multi-fractal spectrum of a to-be-tested distorted image according to a box counting method; 3, comparing the acquired feature information of the distorted image with the basic reference feature information to acquire differences, and objectively measuring the quality of the distorted image through comprehensive processing according to the differences. The image fractal feature based objective image quality evaluation method has the advantages that high uniformity of objective and subjective evaluation of image quality is achieved, and image quality evaluation performance for specific distortion types of images is excellent.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an objective image quality evaluation method based on image fractal features. Background technique [0002] Image processing is also widely used in medical, military, remote sensing, monitoring and many other disciplines and fields. However, due to the influence of various factors, image degradation will inevitably occur during the process of image acquisition, processing, transmission and storage, which brings great difficulties to information acquisition and post-processing. Therefore, monitoring and optimizing the performance of image processing systems through objective evaluation of image quality has become an important research content in the field of image processing, and has very important theoretical and engineering application values. [0003] Generally speaking, according to the degree of dependence on the original image information, the objective...

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): G06T7/00
Inventor 丁勇朱亦凡钱大宏邢天玮张航赵新宇陈宏达
Owner ZHEJIANG UNIV
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