NDLI: High dynamic range map estimation via fully connected random fields with stochastic cliques

Content Provider	IEEE Xplore Digital Library
Author	Li, F.Y. Shafiee, M.J. Chung, A.G. Chwyl, B. Kazemzadeh, F. Wong, A. Zelek, J.
Copyright Year	2015
Description	Author affiliation: Syst. Design Eng. Dept., Univ. of Waterloo, Waterloo, ON, Canada (Li, F.Y.; Shafiee, M.J.; Chung, A.G.; Chwyl, B.; Kazemzadeh, F.; Wong, A.; Zelek, J.)
Abstract	The reconstruction of high dynamic range (HDR) images via conventional camera systems and low dynamic range (LDR) images is a growing field of research in image acquisition. The radiance map associated with the HDR image of a scene is typically computed using multiple images of the same scene captured at different exposures (i.e., bracketed LDR imzages). This approach, though inexpensive, is sensitive to noise under high camera ISO. Each bracketed image is associated with a different level of noise due to the change in exposure time, and the noise is further amplified when tone-mapping the HDR image for display. A new framework is proposed to address the associated noise in the context of random fields. The estimation of the HDR image from a set of LDR images is formulated as a stochastically fully connected conditional random field where the spatial information is incorporated to compute the HDR value in combination with the LDR image values. Experimental results show that the proposed framework compensated the non-stationary ISO noise while preserving the boundaries in the estimated HDR images.
Starting Page	2159
Ending Page	2163
File Size	4994439
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351183
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	ISO Image reconstruction Cameras Dynamic range Signal to noise ratio Stochastic processes SFCRF High Dynamic Range Imaging Conditional Random Fields Image Denoising HDR Reconstruction
Content Type	Text
Resource Type	Article

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