Using perceptual color contrast for color image processing

Guangming Xiong; Dah Jye Lee; Spencer G. Fowers; Jianwei Gong; Huiyan Chen

doi:10.1007/978-3-642-17277-9_42

Using perceptual color contrast for color image processing

Guangming Xiong^*, Dah Jye Lee, Spencer G. Fowers, Jianwei Gong, Huiyan Chen

^*Corresponding author for this work

School of Mechanical Engineering

Brigham Young University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Many grayscale image processing techniques such as edge and feature detection, template matching, require the computations of image gradients and intensity difference. These computations in grayscale are very much like measuring color difference between two colors. The goal of this work is to determine an efficient method to represent color difference so that many existing grayscale image processing techniques that require the computations of intensity difference and image gradients can be adapted for color without significantly increasing the amount of data to process and without significantly altering the grayscale-based algorithms. In this paper, several perceptual color contrast measurement formulas are evaluated to determine the most applicable metric for color difference representation. Well-known edge and feature detection algorithms using color contrast are implemented to prove its feasibility.

Original language	English
Title of host publication	Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
Pages	407-416
Number of pages	10
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-17277-9_42
Publication status	Published - 2010
Event	6th International, Symposium on Visual Computing, ISVC 2010 - Las Vegas, NV, United States Duration: 29 Nov 2010 → 1 Dec 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	6455 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International, Symposium on Visual Computing, ISVC 2010
Country/Territory	United States
City	Las Vegas, NV
Period	29/11/10 → 1/12/10

Access to Document

10.1007/978-3-642-17277-9_42

Cite this

Xiong, G., Lee, D. J., Fowers, S. G., Gong, J., & Chen, H. (2010). Using perceptual color contrast for color image processing. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings (PART 3 ed., pp. 407-416). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6455 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-17277-9_42

Xiong, Guangming ; Lee, Dah Jye ; Fowers, Spencer G. et al. / Using perceptual color contrast for color image processing. Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3. ed. 2010. pp. 407-416 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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title = "Using perceptual color contrast for color image processing",

abstract = "Many grayscale image processing techniques such as edge and feature detection, template matching, require the computations of image gradients and intensity difference. These computations in grayscale are very much like measuring color difference between two colors. The goal of this work is to determine an efficient method to represent color difference so that many existing grayscale image processing techniques that require the computations of intensity difference and image gradients can be adapted for color without significantly increasing the amount of data to process and without significantly altering the grayscale-based algorithms. In this paper, several perceptual color contrast measurement formulas are evaluated to determine the most applicable metric for color difference representation. Well-known edge and feature detection algorithms using color contrast are implemented to prove its feasibility.",

author = "Guangming Xiong and Lee, {Dah Jye} and Fowers, {Spencer G.} and Jianwei Gong and Huiyan Chen",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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note = "6th International, Symposium on Visual Computing, ISVC 2010 ; Conference date: 29-11-2010 Through 01-12-2010",

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Xiong, G, Lee, DJ, Fowers, SG, Gong, J & Chen, H 2010, Using perceptual color contrast for color image processing. in Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6455 LNCS, pp. 407-416, 6th International, Symposium on Visual Computing, ISVC 2010, Las Vegas, NV, United States, 29/11/10. https://doi.org/10.1007/978-3-642-17277-9_42

Using perceptual color contrast for color image processing. / Xiong, Guangming; Lee, Dah Jye; Fowers, Spencer G. et al.
Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3. ed. 2010. p. 407-416 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6455 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Many grayscale image processing techniques such as edge and feature detection, template matching, require the computations of image gradients and intensity difference. These computations in grayscale are very much like measuring color difference between two colors. The goal of this work is to determine an efficient method to represent color difference so that many existing grayscale image processing techniques that require the computations of intensity difference and image gradients can be adapted for color without significantly increasing the amount of data to process and without significantly altering the grayscale-based algorithms. In this paper, several perceptual color contrast measurement formulas are evaluated to determine the most applicable metric for color difference representation. Well-known edge and feature detection algorithms using color contrast are implemented to prove its feasibility.

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Xiong G, Lee DJ, Fowers SG, Gong J, Chen H. Using perceptual color contrast for color image processing. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3 ed. 2010. p. 407-416. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-17277-9_42

Using perceptual color contrast for color image processing

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