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Warm-cool color-based high-speed decolorization: an empirical approach for tone mapping applications

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/82941

Title: Warm-cool color-based high-speed decolorization: an empirical approach for tone mapping applications
Authors: Ambalathankandy, Prasoon Browse this author
Ou, Yafei Browse this author
Ikebe, Masayuki Browse this author →KAKEN DB
Keywords: warm-cool colors
chromatic aberration
decolorization
luminance
preprocessing
RGB
tonemap
Issue Date: Jul-2021
Publisher: IS&T/SPIE
Journal Title: Journal of electronic imaging
Volume: 30
Issue: 4
Start Page: 043026
Publisher DOI: 10.1117/1.JEI.30.4.043026
Abstract: Grayscale images are fundamental to many image processing applications, such as data compression, feature extraction, printing, and tone mapping. However, some image infor-mation is lost when converting from color to grayscale. We propose a lightweight and high-speed image decolorization method based on human perception of color temperatures. Chromatic aber-ration results from differential refraction of light depending on its wavelength. It causes some rays corresponding to cooler colors (such as blue, green) to converge before the warmer colors (such as red and orange). This phenomenon creates a perception of warm colors "advancing" toward the eye, whereas the cool colors to be "receding" away. In this proposed color-to-gray conversion model, we implement a weighted blending function to combine red (perceived warm) and blue (perceived cool) channels. Our main contribution is threefold. First, we implement a high-speed color processing method using exact pixel-by-pixel processing, and we report a 5.7x speed up compared with other new algorithms. Second, our optimal color conversion method produces luminance in images that are comparable to other state-of-the-art methods that we quantified using the objective metrics (E-score and C2G-SSIM) and subjective user studies (decolorization and tone mapping). Third, we demonstrate that an effective luminance distri-bution can be achieved using our algorithm using global and local tone mapping applications. (C) 2021 SPIE and IS&T
Rights: Copyright 2021 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Type: article (author version)
URI: http://hdl.handle.net/2115/82941
Appears in Collections:量子集積エレクトロニクス研究センター (Research Center for Integrated Quantum Electronics) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: AMBALATHANKANDY PRASOON

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