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Proceedings Paper

High-dynamic range imaging techniques based on both color-separation algorithms used in conventional graphic arts and the human visual perception modeling
Author(s): Mei-Chun Lo; Tsung-Hsien Hsieh; Ruey-Kuen Perng; Jiong-Qiao Chen
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Paper Abstract

The aim of this research is to derive illuminant-independent type of HDR imaging modules which can optimally multispectrally reconstruct of every color concerned in high-dynamic-range of original images for preferable cross-media color reproduction applications. Each module, based on either of broadband and multispectral approach, would be incorporated models of perceptual HDR tone-mapping, device characterization. In this study, an xvYCC format of HDR digital camera was used to capture HDR scene images for test. A tone-mapping module was derived based on a multiscale representation of the human visual system and used equations similar to a photoreceptor adaptation equation, proposed by Michaelis-Menten. Additionally, an adaptive bilateral type of gamut mapping algorithm, using approach of a multiple conversing-points (previously derived), was incorporated with or without adaptive Un-sharp Masking (USM) to carry out the optimization of HDR image rendering. An LCD with standard color space of Adobe RGB (D65) was used as a soft-proofing platform to display/represent HDR original RGB images, and also evaluate both renditionquality and prediction-performance of modules derived. Also, another LCD with standard color space of sRGB was used to test gamut-mapping algorithms, used to be integrated with tone-mapping module derived.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7537, Digital Photography VI, 75370M (18 January 2010); doi: 10.1117/12.838859
Show Author Affiliations
Mei-Chun Lo, Shih Hsin Univ. (Taiwan)
Tsung-Hsien Hsieh, National Taiwan Univ. (Taiwan)
Ruey-Kuen Perng, Providence Univ. (Taiwan)
Jiong-Qiao Chen, Shih Hsin Univ. (Taiwan)


Published in SPIE Proceedings Vol. 7537:
Digital Photography VI
Francisco Imai; Nitin Sampat; Feng Xiao, Editor(s)

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