Quaternion discrete cosine transform-based color image quality evaluation method

A discrete cosine transform and quality evaluation technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of inability to measure color distortion, not taking into account color distortion, and large distance, etc., to achieve high consistency, Accurate evaluation, reasonable quality effect

Inactive Publication Date: 2018-04-20
XIDIAN UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the above methods do not take into account the influence of color distortion on the quaternion spectrum characteristics of color images, so they cannot effectively measure colo

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
  • Quaternion discrete cosine transform-based color image quality evaluation method
  • Quaternion discrete cosine transform-based color image quality evaluation method
  • Quaternion discrete cosine transform-based color image quality evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] This example is divided into four parts: the first part is to use the quaternion matrix to represent the three-color channel values ​​of the original image and the distorted image; the second part is to perform 8*8 local quaternion discrete cosine changes on the original image and the distorted image to obtain the image The third part is to extract the quaternion frequency coefficients of the same position and the same frequency in different blocks to form 64 quaternion subbands, and adopt different similarity calculation methods to obtain the exchange coefficient between the original image and the distorted image and The sub-band similarity of the DC coefficient; the fourth part is to carry out weighted fusion of the similarities of all sub-bands, calculate the sub-band similarity of the original image and the distorted image, and obtain the final quality evaluation value.

[0034] refer to figure 1 , the implementation steps of the present invention are as follows:

...

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 quaternion discrete cosine transform-based color image quality evaluation method, and mainly solves the problem of low consistency of objective evaluation and subjective evaluation of color image quality at present. According to the scheme, the method comprises the steps of 1) representing color three-channel information of a color image by utilizing a quaternion matrix;2) obtaining a coefficient of the image by utilizing quaternion discrete cosine transform; 3) according to a spatial frequency position, dividing the obtained quaternion color spectrum coefficient into different sub-bands; and 4) calculating the similarity between the sub-bands of an original image and a distorted image, and obtaining image quality through weighted fusion. The calculation is simple; an experimental result shows that three channels of the color image are subjected to overall processing by utilizing a quaternion; the color image can be subjected to quality evaluation more effectively and accurately; and the method can be used for processing the color image in compression, storage and transmission of the color image.

Description

technical field [0001] The invention belongs to the technical field of color image processing, in particular to a color image quality evaluation method, which can be used for color image processing in color image compression, storage, and transmission. Background technique [0002] With the advent of the era of big data, multimedia information is experiencing explosive growth at an unprecedented speed. As one of the most widely used media in multimedia information, color images can describe the objective world truly and vividly. Compared with grayscale images, color images carry more real and rich information. In order to make color images better applied in practice, it plays an important role in many fields closely related to our lives, such as biomedicine, video multimedia, security monitoring and other fields, and makes a great contribution to the quality of color images. Quantitative evaluation has very important application value. [0003] For color images, most of th...

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): G06T7/00G06T3/00
CPCG06T7/0002G06T3/00G06T2207/20052G06T2207/20221G06T2207/30168
Inventor 路文吝冰杰沙丰周自衡汪锐贺然姚晶晶
Owner XIDIAN UNIV
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