Paper
25 February 2014 Alpha-rooting method of color image enhancement by discrete quaternion Fourier transform
Author Affiliations +
Proceedings Volume 9019, Image Processing: Algorithms and Systems XII; 901904 (2014) https://doi.org/10.1117/12.2040596
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
This paper presents a novel method for color image enhancement based on the discrete quaternion Fourier transform. We choose the quaternion Fourier transform, because it well-suited for color image processing applications, it processes all 3 color components (R,G,B) simultaneously, it capture the inherent correlation between the components, it does not generate color artifacts or blending , finally it does not need an additional color restoration process. Also we introduce a new CEME measure to evaluate the quality of the enhanced color images. Preliminary results show that the α-rooting based on the quaternion Fourier transform enhancement method out-performs other enhancement methods such as the Fourier transform based α-rooting algorithm and the Multi scale Retinex. On top, the new method not only provides true color fidelity for poor quality images but also averages the color components to gray value for balancing colors. It can be used to enhance edge information and sharp features in images, as well as for enhancing even low contrast images. The proposed algorithms are simple to apply and design, which makes them very practical in image enhancement.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Artyom M. Grigoryan and Sos S. Agaian "Alpha-rooting method of color image enhancement by discrete quaternion Fourier transform", Proc. SPIE 9019, Image Processing: Algorithms and Systems XII, 901904 (25 February 2014); https://doi.org/10.1117/12.2040596
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Image enhancement

Image processing

Fourier transforms

Color image processing

Image quality

RGB color model

Signal processing

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