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

Image quality evaluating method and device

A technology of image quality and evaluation method, which is applied in the field of image processing, can solve problems such as performance limitations, poor consistency, and inaccurate evaluation results, and achieve the effect of improving consistency and accuracy

Inactive Publication Date: 2009-02-18
VIMICRO CORP
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In the prior art, the objective image quality evaluation method is mainly the peak signal-to-noise ratio (PSNR, PeakSignal-to-Noise-Ratio), which is mainly the statistics of the error between the pixels of the image from the perspective of pure mathematics, PSNR The evaluation is usually to evaluate the image quality on the RGB color domain or the brightness component. The evaluation results are not consistent with the subjective evaluation, the evaluation results are inaccurate, and the performance has great limitations.

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 evaluating method and device
  • Image quality evaluating method and device
  • Image quality evaluating method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] refer to figure 1 , which shows a flow chart of the first embodiment of an image quality evaluation method of the present invention, including steps:

[0043] Step 110, calculating the loss of the brightness component of the tested image relative to the reference image, and obtaining the brightness loss result of the tested image.

[0044] The human visual system (HVS, Human Visual System) is more sensitive to brightness than to color.

[0045] There are many methods for calculating the loss of the brightness component of the measured image relative to the reference image. In the embodiment of the present invention, it is preferred to calculate the loss of the brightness component of the measured image relative to the referenc...

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 evaluation method and device, wherein the method includes: calculating the loss of an evaluated image relative to a reference image on a luminance component, and obtaining the luminance loss result of the evaluated image; calculating the edge loss of the evaluated image relative to the reference image, and obtaining the edge loss result of the evaluated image; obtaining the quality score of the evaluated image according to the luminance loss result and the edge loss result of the evaluated image. The luminance component loss and the edge loss are synthetically evaluated according to the characteristics of human visual system, thereby enhancing the consistency between objective evaluation and subjective evaluation results and improving the accuracy of the evaluation results.

Description

technical field [0001] The present invention mainly relates to the technical field of image processing, in particular to an image quality evaluation method and an image quality evaluation device. Background technique [0002] Images are obtained by observing the objective world in different forms and means with various observation systems, and can directly or indirectly act on the human eye to produce visual entities. About 75% of the information that humans get from the outside world is obtained from images. With the development of signal processing and computer science and technology, image engineering has also become a subject with rich content and rapid development. An image system includes image acquisition, display, storage, communication, processing and analysis. It is widely used in various fields of the national economy, such as: scientific research, industrial production, medical and health care, education, entertainment, management and communication, and plays a...

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): H04N17/00
Inventor 朱立英游明琦占文静
Owner VIMICRO CORP
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