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

Grayscale images are fundamental to many image processing applications like data compression, feature extraction, printing and tone mapping. However, some information is lost when converting from color grayscale. In this paper, we propose a light-weight high-speed decolorization method based on human perception of temperatures. Chromatic aberration results differential refraction light depending its wavelength. It causes rays corresponding cooler colors (like blue, green) converge before the warmer red, orange). This phenomena creates warm "advancing" toward eye, while cool be "receding" away. proposed gray conversion model, implement weighted blending function combine red (perceived warm) blue cool) channel. Our main contribution threefold: First, using exact pixel by processing, report $5.7\times$ speed up compared other new algorithms. Second, our optimal produces luminance in that comparable state art methods which quantified objective metrics (E-score C2G-SSIM) subjective user study. Third, demonstrate an effective distribution can achieved algorithm global local mapping applications.