Saliency Maps of High Dynamic Range Images
Abstract
- A number of computational models of visual attention have been
proposed based on the concept of saliency map, most of them
validated using oculometric data. They are widely used for Computer
Graphics applications with Low Dynamic Range images, mainly for
image rendering, in order to avoid spending too much computing time
on non salient areas. However, these algorithms were not used so far
with High Dynamic Range (HDR) inputs. In this paper, we show that in
the case of HDR images, the predictions using algorithms based on
[Itti2000] are less accurate than with 8-bit images. To improve
the saliency computation for HDR inputs, we propose a new algorithm
derived from [Itti2000]. From an eye tracking experiment with a
HDR scene, we show that this algorithm leads to good results for the
saliency map computation, with a better fit between the saliency map
and the ocular fixation map than Itti's algorithm.
Reference
@inproceedings{jpt-apgv09,
author = {Petit, Josselin and Br\'{e}mond, Roland and Tarel, J.-P.},
title = {Saliency Maps of High Dynamic Range Images},
booktitle = {Proceedings of Symposium on Applied Perception in Graphics and Visualization (APGV'09)},
date = {September 30-October 2},
address = {Chania, Crete, Greece},
year = {2009},
pages = {134},
note = {http://perso.lcpc.fr/tarel.jean-philippe/publis/apgv09.html}
}
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