Reconstruction of high contrast images for dynamic scenes |
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Authors: | Shanmuganathan Raman Subhasis Chaudhuri |
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Affiliation: | (1) State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310027, P.R. China;(2) Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China |
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Abstract: | High Dynamic Range (HDR) imaging requires one to composite multiple, differently exposed images of a scene in the irradiance
domain and perform tone mapping of the generated HDR image for displaying on Low Dynamic Range (LDR) devices. In the case
of dynamic scenes, standard techniques may introduce artifacts called ghosts if the scene changes are not accounted for. In
this paper, we consider the blind HDR problem for dynamic scenes. We develop a novel bottom-up segmentation algorithm through
superpixel grouping which enables us to detect scene changes. We then employ a piecewise patch-based compositing methodology
in the gradient domain to directly generate the ghost-free LDR image of the dynamic scene. Being a blind method, the primary
advantage of our approach is that we do not assume any knowledge of camera response function and exposure settings while preserving
the contrast even in the non-stationary regions of the scene. We compare the results of our approach for both static and dynamic
scenes with that of the state-of-the-art techniques. |
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Keywords: | |
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