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Color Consistency for Photo Collections without Gamut Problems

Tian, Qi-Chong; Cohen, Laurent D. (2017), Color Consistency for Photo Collections without Gamut Problems, in Amsaleg, Laurent; Þór Guðmundsson, Gylfi; Gurrin, Cathal; Þór Jónsson, Björn; Satoh, Shin’ichi, MultiMedia Modeling 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part I, Springer : Berlin Heidelberg, p. 90-101. 10.1007/978-3-319-51811-4_8

Type
Communication / Conférence
Date
2017
Conference title
23rd International Conference on MultiMedia Modeling, MMM 2017
Conference date
2017-01
Conference city
Reykjavik
Conference country
Iceland
Book title
MultiMedia Modeling 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part I
Book author
Amsaleg, Laurent; Þór Guðmundsson, Gylfi; Gurrin, Cathal; Þór Jónsson, Björn; Satoh, Shin’ichi
Publisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-319-51810-7
Pages
90-101
Publication identifier
10.1007/978-3-319-51811-4_8
Metadata
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Author(s)
Tian, Qi-Chong
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Cohen, Laurent D.
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Abstract (EN)
In this paper, we present a color consistency technique in order to make images in the same collection share the same color style and to avoid gamut problems. Some previous methods define simple global parameter-based models and use optimizing algorithms to obtain the unknown parameters, which usually cause gamut problems in bright and dark regions. Our method is based on the range-preserving histogram specification and can enforce images to share the same color style, without resulting in gamut problems. We divide the input images into two sets having respectively high visual quality and low visual quality. The high visual quality images are used to make color balance. And then the low visual quality images are color transferred using the previous corrected high quality images. Our experiments indicate that such histogram-based color correction method is better than the compared algorithm.
Subjects / Keywords
Color consistency; Color correction; Histogram specification; Gamut preserving; Image quality assessment

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