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Proceedings Paper

Fast and robust wavelet-based dynamic range compression and contrast enhancement model with color restoration
Author(s): Numan Unaldi; Vijayan K. Asari; Zia-ur Rahman
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Paper Abstract

Recently we proposed a wavelet-based dynamic range compression algorithm to improve the visual quality of digital images captured from high dynamic range scenes with non-uniform lighting conditions. The fast image enhancement algorithm that provides dynamic range compression, while preserving the local contrast and tonal rendition, is also a good candidate for real time video processing applications. Although the colors of the enhanced images produced by the proposed algorithm are consistent with the colors of the original image, the proposed algorithm fails to produce color constant results for some "pathological" scenes that have very strong spectral characteristics in a single band. The linear color restoration process is the main reason for this drawback. Hence, a different approach is required for the final color restoration process. In this paper the latest version of the proposed algorithm, which deals with this issue is presented. The results obtained by applying the algorithm to numerous natural images show strong robustness and high image quality.

Paper Details

Date Published: 27 April 2009
PDF: 12 pages
Proc. SPIE 7341, Visual Information Processing XVIII, 734111 (27 April 2009); doi: 10.1117/12.822770
Show Author Affiliations
Numan Unaldi, Turkish Air Force Academy (Turkey)
Old Dominion Univ. (United States)
Vijayan K. Asari, Old Dominion Univ. (United States)
Zia-ur Rahman, Old Dominion Univ. (United States)


Published in SPIE Proceedings Vol. 7341:
Visual Information Processing XVIII
Zia-Ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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