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Proceedings Paper

Temporal coherency for video tone mapping
Author(s): Ronan Boitard; Kadi Bouatouch; Remi Cozot; Dominique Thoreau; Adrien Gruson
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Paper Abstract

Tone Mapping Operators (TMOs) aim at converting real world high dynamic range (HDR) images captured with HDR cameras, into low dynamic range (LDR) images that can be displayed on LDR displays. Several TMOs have been proposed over the last decade, from the simple global mapping to the more complex one simulating the human vision system. While these solutions work generally well for still pictures, they are usually less e_cient for video sequences as they are source of visual artifacts. Only few of them can be adapted to cope with a sequence of images. In this paper we present a major problem that a static TMO usually encounters while dealing with video sequences, namely the temporal coherency. Indeed, as each tone mapper deals with each frame separately, no temporal coherency is taken into account and hence the results can be quite disturbing for high varying dynamics in a video. We propose a temporal coherency algorithm that is designed to analyze a video as a whole, and from its characteristics adapts each tone mapped frame of a sequence in order to preserve the temporal coherency. This temporal coherency algorithm has been tested on a set of real as well as Computer Graphics Image (CGI) content and put in competition with several algorithms that are designed to be time-dependent. Results show that temporal coherency preserves the overall contrast in a sequence of images. Furthermore, this technique is applicable to any TMO as it is a post-processing that only depends on the used TMO.

Paper Details

Date Published: 15 October 2012
PDF: 10 pages
Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84990D (15 October 2012); doi: 10.1117/12.929600
Show Author Affiliations
Ronan Boitard, Technicolor R&D France (France)
IRISA (France)
Kadi Bouatouch, IRISA (France)
Remi Cozot, IRISA (France)
Dominique Thoreau, Technicolor R&D France (France)
Adrien Gruson, IRISA (France)

Published in SPIE Proceedings Vol. 8499:
Applications of Digital Image Processing XXXV
Andrew G. Tescher, Editor(s)

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