Rendering of HDR images to improve brightness discrimination. Issue 1 (14th January 2016)

• Record Type: Journal Article
• Authors: Hong, Jong‐Ju; Shin, Seungjun; Song, Woo‐Jin; Kwon, Kyung Joon; Kim, Seong Gyun
• Is Part Of: Journal of the Society for Information Display. Volume 24:Issue 1(2016)
• Page Start: 44
• Page End: 56
• Publication Date: 2016-01-14
• Subjects: tone reproduction -- brightness adaptation model -- human visual system -- Weber's law; Information display systems -- Periodicals; 621.38154205
• DOI: 10.1002/jsid.407
• Languages: English
• ISSNs: 1071-0922

Abstract

Abstract: The impression of quality of images can be enhanced on a high dynamic range (HDR) displays. Generally, a conventional 8‐bit image can be processed to an HDR image by inverse tone mapping operators. Among the operators, brightness discrimination mapping by applying brightness adaptation model attempted to mimic the human visual system. In this paper, we use a brightness adaptation model to derive a brightness discrimination mapping algorithm for HDR displays. The proposed algorithm maximizes a function, which represents the local and global brightness discrimination range by exploiting characteristics of the human visual system. Enhancement of details is verified by visualizing HDR images from dark to bright regions. Improvement of dynamic range is quantified by measuring increased discrimination ratio.