Saliency-Guided Color-to-Gray Conversion Using Region-Based Optimization

• Main Authors: DU, Hao, HE, Shengfeng, SHENG, Bin, MA, Lizhuang, LAU, Rynson W.H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Contrast discrimination; Contrast enhancement; Conversion methods; Dimensionality reduction; Experimental evaluation; Global color information; Gray-scale images; State-of-the-art methods; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8365; https://ink.library.smu.edu.sg/context/sis_research/article/9368/viewcontent/Saliency_guided_color_to_gray_conversion_using_region_based_optimization.pdf
• Institution: Singapore Management University

Image decolorization is a fundamental problem for many real-world applications, including monochrome printing and photograph rendering. In this paper, we propose a new color-to-gray conversion method that is based on a region-based saliency model. First, we construct a parametric color-to-gray mappi...