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

Distorted image quality perceptual evaluation method based on EEG signal

An image quality evaluation and EEG signal technology, which is applied in image analysis, image communication, image data processing, etc., can solve the problem of inaccurate image quality evaluation results and achieve accurate image quality evaluation results

Active Publication Date: 2019-06-21
XIDIAN UNIV
View PDF11 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The specific idea of ​​realizing the purpose of the present invention is, aiming at the limitations and uncertainties existing in the existing image quality evaluation method, causing the problem of inaccurate results of the image quality evaluation, by designing and researching the experimental paradigm, extracting the EEG data of the subjects. Signals, use support vector machine classifiers to sort and classify, study the changes of human EEG signals with changes in image quality, and obtain a more objective image quality evaluation method

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
  • Distorted image quality perceptual evaluation method based on EEG signal
  • Distorted image quality perceptual evaluation method based on EEG signal
  • Distorted image quality perceptual evaluation method based on EEG signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0032] Refer to attached figure 1 , the concrete steps of the present invention are as follows.

[0033] Step 1, select the image to be evaluated.

[0034] From the LIVE image quality evaluation database of the Image and Video Engineering Laboratory, 8 images with no significant objects and uniform color are randomly selected as the original images.

[0035] From the image and video engineering laboratory LIVE image quality evaluation database Joint Photographic Experts Group JPEG distortion type images, select 8 kinds of distorted images corresponding to the original image content.

[0036] Step 2, collecting EEG signals.

[0037] In the state of the experimental environment, using the strange ball Oddball paradigm and the rapid sequence visual presentation RSVP paradigm, the original image and the distorted image are respectively applied to the subjects ...

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 distorted image quality perception evaluation method based brain wave signals. Through the method, the problem that in the prior art, human visual characteristics are not considered in image quality evaluation methods, and consequently objective image quality evaluation is divorced from an evaluation subject is solved. The method comprises the implementation steps that (1) a to-be-evaluated image is selected; (2) the brain wave signals are collected; (3) a single-time brain wave signal is extracted; (4) the single-time brain wave signal is classified; (5) image quality is evaluated. The method has the advantages that during objective evaluation of image quality, the brain wave signals corresponding to different levels of quality are used as evaluation bases, so that the image quality evaluation result is more accurate and better conforms to human subjective evaluation.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a perceptual evaluation method of distorted image quality based on electroencephalogram signals in the technical field of image and video quality evaluation. The present invention can be applied to the fields of psychological behavior research, image quality evaluation, image compression, image detection, etc. According to the influence of the distorted image presented on the human brain, the EEG signal is extracted, and the temporal and spatial characteristics of the EEG signal are considered, and the image is processed. Objective quality assessment. Background technique [0002] With the rapid development of multimedia technology and computer network, a large number of images of different qualities are used in multimedia communication. Due to the limitations of existing transmission equipment, a large amount of visual information has been compressed to a certain...

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): G06K9/00G06K9/62G06T7/00H04N17/00
Inventor 高新波张烨何立火
Owner XIDIAN 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