High quality color correction method combining neural networks with genetic algorithms

Author

Watanabe, Tatsumi ; Kojima, Akio ; Kuwahara, Yasuhiro ; Kurosawa, Toshiharu

Author_Institution

Color Printing Products & Technol. Dev. Center, Matsushita Electr. Ind. Co., Ltd, Japan

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

553

Abstract

A variety of color correction technologies have been applied to hardcopies to eliminate the crosstalk caused by unwanted absorption in colorants. However, since the accuracy of color correction is not sufficient, an improvement in color correction technology is required as an aspect of the appearance of color devices. This paper proposes a new color correction method combining neural networks with genetic algorithms. An evaluation experiment of RMS color difference has been done with the chart pattern of 1331 colors inside the printer color gamut. As a result, it has been shown that the proposed method is qualitatively and quantitatively superior to the conventional color correction masking method using the least squares method

Keywords

error correction; genetic algorithms; image colour analysis; neural nets; printers; RMS color difference; color chart pattern; color correction; colorant absorption; crosstalk; full-color image processing; genetic algorithms; least squares method; neural networks; printer color gamut; Absorption; Color; Genetic algorithms; Least squares approximation; Least squares methods; Matrix converters; Neural networks; Printers; Printing; Proposals;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959076

Filename

959076