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  • Review Article
  • Open Access

Color in Image and Video Processing: Most Recent Trends and Future Research Directions

  • 1Email author,
  • 2 and
  • 3
EURASIP Journal on Image and Video Processing20082008:581371

https://doi.org/10.1155/2008/581371

  • Received: 2 October 2007
  • Accepted: 17 April 2008
  • Published:

Abstract

The motivation of this paper is to provide an overview of the most recent trends and of the future research directions in color image and video processing. Rather than covering all aspects of the domain this survey covers issues related to the most active research areas in the last two years. It presents the most recent trends as well as the state-of-the-art, with a broad survey of the relevant literature, in the main active research areas in color imaging. It also focuses on the most promising research areas in color imaging science. This survey gives an overview about the issues, controversies, and problems of color image science. It focuses on human color vision, perception, and interpretation. It focuses also on acquisition systems, consumer imaging applications, and medical imaging applications. Next it gives a brief overview about the solutions, recommendations, most recent trends, and future trends of color image science. It focuses on color space, appearance models, color difference metrics, and color saliency. It focuses also on color features, color-based object tracking, scene illuminant estimation and color constancy, quality assessment and fidelity assessment, color characterization and calibration of a display device. It focuses on quantization, filtering and enhancement, segmentation, coding and compression, watermarking, and lastly on multispectral color image processing. Lastly, it addresses the research areas which still need addressing and which are the next and future perspectives of color in image and video processing.

Keywords

  • Recent Trend
  • Future Research Direction
  • Appearance Model
  • Video Processing
  • Color Constancy

Publisher note

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Authors’ Affiliations

(1)
Laboratoire LIGIV, Université Jean Monnet, 42000 Saint Etienne, France
(2)
Department of Information and Image Sciences, Chiba University, Chiba 263-8522, Japan
(3)
The Edward S. Rogers Department of ECE, University of Toronto, Toronto, Canada, M5S3G4

Copyright

© Alain Trémeau et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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