A comparative study of color and contrast enhancement for still images and consumer video applications (2023)

Abstract

The goal of color and contrast enhancement in general is to provide a more appealing Image or video by adjusting the amount of saturation and lightness to achieve more vivid or realistic colors and to increase the visibility of details that may be obscured by deficient global and local lightness. We implemented and compared the performance of various color and contrast enhancement algorithms using image difference maps in all three dimensions of lightness, chroma and hue, derived from IPT, a uniform, perceptual color space. The comparative analysis includes four published methods, two proprietary algorithms commonly used in consumer video applications and a new proposed approach developed as part of our research. Functionalities of these algorithms are evaluated with regard to the working requirements for an algorithm to be suitable for a typical video processing chain in consumer systems. We also report the results obtained from two psychophysical experiments involving the proprietary and proposed algorithms. Several still images and videos are used in the Method of Paired Comparison experiments to compare overall image/picture quality of various algorithm outputs. Results show a consistently satisfactory performance of the new algorithm, with opportunities for further improvement.

Original languageEnglish (US)
Pages (from-to)170-175
Number of pages6
JournalFinal Program and Proceedings - IS and T/SID Color Imaging Conference
StatePublished - 2008
Event16th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications - Portland, OR, United States
Duration: Nov 10 2008Nov 15 2008

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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Sarkar, A., Fairchild, M. D., Caviedes, J., & Subedar, M. (2008). A comparative study of color and contrast enhancement for still images and consumer video applications. Final Program and Proceedings - IS and T/SID Color Imaging Conference, 170-175.

A comparative study of color and contrast enhancement for still images and consumer video applications. / Sarkar, Abhijit; Fairchild, Mark D.; Caviedes, Jorge et al.
In: Final Program and Proceedings - IS and T/SID Color Imaging Conference, 2008, p. 170-175.

Research output: Contribution to journalConference articlepeer-review

Sarkar, A, Fairchild, MD, Caviedes, J & Subedar, M 2008, 'A comparative study of color and contrast enhancement for still images and consumer video applications', Final Program and Proceedings - IS and T/SID Color Imaging Conference, pp. 170-175.

Sarkar A, Fairchild MD, Caviedes J, Subedar M. A comparative study of color and contrast enhancement for still images and consumer video applications. Final Program and Proceedings - IS and T/SID Color Imaging Conference. 2008;170-175.

Sarkar, Abhijit ; Fairchild, Mark D. ; Caviedes, Jorge et al. / A comparative study of color and contrast enhancement for still images and consumer video applications. In: Final Program and Proceedings - IS and T/SID Color Imaging Conference. 2008 ; pp. 170-175.

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title = "A comparative study of color and contrast enhancement for still images and consumer video applications",

abstract = "The goal of color and contrast enhancement in general is to provide a more appealing Image or video by adjusting the amount of saturation and lightness to achieve more vivid or realistic colors and to increase the visibility of details that may be obscured by deficient global and local lightness. We implemented and compared the performance of various color and contrast enhancement algorithms using image difference maps in all three dimensions of lightness, chroma and hue, derived from IPT, a uniform, perceptual color space. The comparative analysis includes four published methods, two proprietary algorithms commonly used in consumer video applications and a new proposed approach developed as part of our research. Functionalities of these algorithms are evaluated with regard to the working requirements for an algorithm to be suitable for a typical video processing chain in consumer systems. We also report the results obtained from two psychophysical experiments involving the proprietary and proposed algorithms. Several still images and videos are used in the Method of Paired Comparison experiments to compare overall image/picture quality of various algorithm outputs. Results show a consistently satisfactory performance of the new algorithm, with opportunities for further improvement.",

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N2 - The goal of color and contrast enhancement in general is to provide a more appealing Image or video by adjusting the amount of saturation and lightness to achieve more vivid or realistic colors and to increase the visibility of details that may be obscured by deficient global and local lightness. We implemented and compared the performance of various color and contrast enhancement algorithms using image difference maps in all three dimensions of lightness, chroma and hue, derived from IPT, a uniform, perceptual color space. The comparative analysis includes four published methods, two proprietary algorithms commonly used in consumer video applications and a new proposed approach developed as part of our research. Functionalities of these algorithms are evaluated with regard to the working requirements for an algorithm to be suitable for a typical video processing chain in consumer systems. We also report the results obtained from two psychophysical experiments involving the proprietary and proposed algorithms. Several still images and videos are used in the Method of Paired Comparison experiments to compare overall image/picture quality of various algorithm outputs. Results show a consistently satisfactory performance of the new algorithm, with opportunities for further improvement.

AB - The goal of color and contrast enhancement in general is to provide a more appealing Image or video by adjusting the amount of saturation and lightness to achieve more vivid or realistic colors and to increase the visibility of details that may be obscured by deficient global and local lightness. We implemented and compared the performance of various color and contrast enhancement algorithms using image difference maps in all three dimensions of lightness, chroma and hue, derived from IPT, a uniform, perceptual color space. The comparative analysis includes four published methods, two proprietary algorithms commonly used in consumer video applications and a new proposed approach developed as part of our research. Functionalities of these algorithms are evaluated with regard to the working requirements for an algorithm to be suitable for a typical video processing chain in consumer systems. We also report the results obtained from two psychophysical experiments involving the proprietary and proposed algorithms. Several still images and videos are used in the Method of Paired Comparison experiments to compare overall image/picture quality of various algorithm outputs. Results show a consistently satisfactory performance of the new algorithm, with opportunities for further improvement.

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