open access

https://hdl.handle.net/2115/82941

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

英語

tonemap

2021-07

IS&T/SPIE

Journal of electronic imaging

30(4)

043026

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

学術雑誌論文

Accepted Manuscript

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.

1017-9909

AA10812744