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

Seven color separation algorithm based on cellular element partition neugebauer equation

A technique based on Neusselberger and cell elements, which is applied in the field of seven-color color separation algorithms based on the division of Neusselberger equations by cells, can solve the problems of poor model accuracy of Neusselberger equations and poor color separation accuracy of Neusselberger equations, and achieve The effect of simple model, small amount of calculation and high search accuracy

Inactive Publication Date: 2013-02-27
UNIV OF SHANGHAI FOR SCI & TECH
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem of poor model precision of the modified Neusselberger equation existing in the prior art, the purpose of the present invention is to provide a new seven-color color separation algorithm of the revised Neusselberger equation, which adopts the Newsterburg equation based on cell division The color separation model of the Fort Equation divides the three-dimensional color space into several small cells, and establishes the regression index modified Neusselberger equation in each small cell.
Thus solving the problem of poor color separation accuracy of the Neusselberger equation

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
  • Seven color separation algorithm based on cellular element partition neugebauer equation
  • Seven color separation algorithm based on cellular element partition neugebauer equation
  • Seven color separation algorithm based on cellular element partition neugebauer equation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The seven-color color separation algorithm based on the cell division Neusselberger equation involved in the present invention will be described in detail below with reference to the accompanying drawings.

[0016] figure 1 It is the flow chart of the seven-color separation method of the color image in the embodiment of the present invention, as figure 1 As shown, the specific steps are as follows:

[0017] Step 1: Scan the original into a digital image in RGB color space (if it is already in RGB color mode, you don’t need to scan again).

[0018] The second step: convert the digital image in RGB color space into the digital image in CIELab color space.

[0019] The third step: use the Neusselberger equation based on cell division to establish a seven-color color separation model to generate a multi-color ICC color characteristic file.

[0020] Step 4: Use photoshop and other image processing software to convert the original digital image into seven channels of C, M,...

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 belongs to the field of computer graphic images and relates to a seven color separation algorithm based on a cellular element partition neugebauer equation. By further optimizing the neugebauer equation color separation algorithm, a seven color separation model is built on the basis of the cellular element partition neugebauer equation, a cellular element search algorithm suitable for the color separation model is designed, the calculated amount is small, search accuracy is high, and the problem that the neugebauer equation color separation precision is poor is solved simultaneously.

Description

technical field [0001] The invention belongs to the field of computer graphics and image processing, and in particular relates to a color separation method for color images, in particular to a seven-color color separation algorithm based on the Neusselberg equation of cell division. technical background [0002] With the improvement of the level of material culture, people's requirements for the quality of printed matter are also getting higher and higher. Traditional CMYK four-color printing is limited by the objective factor of small color gamut, and cannot accurately reproduce colors with high saturation, resulting in insufficient color levels and expressiveness of CMYK four-color prints. Adding additional primary colors on the basis of CMYK can significantly expand the color gamut of four-color reproduction, especially adding three primary colors of R, G, and B with low color saturation in CMYK four-color printing, which can more accurately reproduce the natural scene. ...

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 Applications(China)
IPC IPC(8): G06T7/40
Inventor 刘真张桢杰于惠杨晟炜孙刘杰王晓红孔令珺张建青卢亮
Owner UNIV OF SHANGHAI FOR SCI & TECH
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