Color image color constant method based on retina vision mechanism

A visual mechanism, color image technology, applied in the field of image processing, can solve the problem of inaccurate display of color-shifted light sources

Inactive Publication Date: 2010-03-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Another example is that the whiteboard algorithm assumes that the color shift light source can be determined according to the maximum values ​​of the red, green, and blue channels of the color shift image, but when there is specular reflection, th

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
  • Color image color constant method based on retina vision mechanism
  • Color image color constant method based on retina vision mechanism
  • Color image color constant method based on retina vision mechanism

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0092] Specific implementation mode 1—Using the international common color constancy algorithm to test the database test results

[0093] Method: The internationally common color constancy image database (http: / / www.cs.sfu.ca / ~colour / data) was used to test and evaluate the color constancy method of color images based on retinal vision mechanism in the present invention. Using the 30 different color shift scenes provided by the database, each color shift scene includes 10 color shift images illuminated by different light sources and a standard image without color shift. Use the model method for each color shift image, and process it according to steps 1 to 9 of the detailed technical plan, and compare the deviation degree of the processed image without color shift with the standard image in the following formula. The smaller the value, the better the color recovery the better.

[0094] D = ( r ...

specific Embodiment approach 2

[0104] Specific implementation mode 2 - color image color enhancement effect test of SANRF model

[0105] Method: It is verified through experiments that the SANRF model of the present invention can not only realize color constancy, but also realize image enhancement at the same time. The same overexposure and underexposure images are processed by grayscale world, whiteboard algorithm and the SANRF model of the present invention respectively, and the internationally accepted sRGB space quantification index CEF is used to quantify the enhancement effect (CEF>1 shows that the color image is enhanced, The larger the value, the better the effect; CEF<1 means that the image color quality is degraded), and Table 2 is obtained. It can be seen from Table 2 that the SANRF model of the present invention not only realizes color constancy, but also realizes color enhancement and improves the color image quality.

[0106] Table 2. Color enhancement results for overexposed and underexposed...

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 color image color constant method based on a retina vision mechanism, which belongs to the technical field of image processing, and relates to a color image constant technology, in particular to a color image color constant method based on a retina vision mechanism. The invention is based on the current latest optic nerve electrophysiology research achievement to simulatethe retina vision mechanism of human eyes and establish an approaching receptive field single antagonist model to realize the constant color of a deviation color image. The color image color constantmethod based on a retina vision mechanism confirms that the proposed arithmetic is more effective than the current color constant arithmetic through the image validation of more than three hundred different scenes and illumination in the international universal color constant test database; besides, the color image color constant method based on a retina vision mechanism not only can realize theconstant color of the deviation colorful image, but also has the function of reinforcing the image color, thus being more suitable for the visual characteristic of the human eye.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to color image color constant technology, in particular to a color image color constant method based on retinal vision mechanism. Background technique [0002] The color of an object collected by a sensor such as a camera is determined by the incident light, the reflective properties of the surface material of the object, and the transmission properties of the sensor itself. For example, when yellow light hits a white wall, what the sensor collects is the yellow light reflected from the wall. The result is different from the human perception that the wall may still be white. This is because the human eye's perception of the color of an object can remain relatively unchanged under a certain range of changes in external light. This psychological tendency that the human eye's perception of the color of the object's surface tends to be stable is called color constancy (Color Cons...

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): H04N9/73
Inventor 杜馨瑜李永杰尧德中李朝义
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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