USER S PREFERENCE-BASED COLOR TRANSFORMATION USING INTERACTIVE GENETIC ALGORITHM

Kang, Hang-Bong; Woo, Hye-Yoon

USER S PREFERENCE-BASED COLOR TRANSFORMATION USING INTERACTIVE GENETIC ALGORITHM

Files

poster5013.pdf (1.18 MB)

Date

2010

Authors

Kang, Hang-Bong
Woo, Hye-Yoon

Publisher

The Eurographics Association

Abstract

In this paper, we propose a new color transform method in the image based on the user s preferences. To obtain general preferences for color, we first divided the images into two categories as favourable and unfavourable groups based on the users evaluation. From the categorized groups of images, we compute color histograms to construct general templates for 8 primary colors. To reflect the user s own preference in the color perception, we adopted an interactive genetic algorithm. In the interactive genetic algorithm, each individual consists of three chromosomes for H, S, and V and the fitness value is computed from the user s input, which is then used as criteria to iterate Genetic Algorithm for learning the user s preference. Finally, a personalized individual is generated. By transforming the colors in the image with the personalized individual, a re-colorred image is generated according to the user own preference. Survey results show that re-colorred images from our proposed personalized color templates are more satisfying than the original images.

        @inproceedings{10.2312:egp.20101027
,
booktitle = {Eurographics 2010 - Posters
},
editor = {Anders Hast and Ivan Viola
},
title = {{USER S PREFERENCE-BASED COLOR TRANSFORMATION USING INTERACTIVE GENETIC ALGORITHM
}},
author = {Kang, Hang-Bong and 
Woo, Hye-Yoon
},
year = {2010
},
publisher = {The Eurographics Association
},
ISBN = {},
DOI = {10.2312/egp.20101027
}
}