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Volume: 33 | Article ID: art00006_1
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HDR Image Reproduction based on ICAM06 and Bilateral Filtering
  DOI :  10.2352/ISSN.2169-4451.2017.33.17  Published OnlineNovember 2017
Abstract

HDR Image could not be reproduced on LDR medium directly. A lot of tone information and detail information can't be perceived when we use the LDR medium, e.g., display and paper, which are the most often medium used. Although there are several progresses in traditional display medium technique including large gamut, adaptive lightness adjustment, etc., a lot of details are compressed in the reproduction of HDR image. In fact, HDR image is always correlated to the surround conditions when it is perceived through human eyes. When we perceive the scene with high dynamic range, e.g., sun rise or sun set, the responses captured by human and processed in our brain always show beautiful aspect. Theoretically, HDR image representation is highly correlated to color appearance. And the image appearance and dynamic range are always satisfied at the same time when we use our eyes as the receptor. To solve the problem that HDR image could not be reproduced in most LDR medium, a novel method based on iCAM06 and bilateral filtering was presented in this paper. Firstly, the HDR image was subjected to bilateral filtering based on the human visual characteristics. Then it was processed adaptively according to the light source information and the edge details retained. As a result, the noises in shadow portion could be reduced by the brightness adaptive function and the HDR image could be reproduced using the digital print output. It showed that the saturation of the image color was enhanced and the image contrast was improved. Additionally, the Halo phenomenon was eliminated more and the details information and edge sharpening were enriched.

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  Cite this article 

Xiaozhou Li, Yang Zhao, Jingqiang Jia, "HDR Image Reproduction based on ICAM06 and Bilateral Filteringin Proc. IS&T Printing for Fabrication: Int'l Conf. on Digital Printing Technologies (NIP33),  2017,  pp 17 - 19,  https://doi.org/10.2352/ISSN.2169-4451.2017.33.17

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