In this paper, we present a new metric to estimate the perceived difference in contrast between an original image and a reproduction. This metric, named weighted-level framework Δ E E (WLF-DEE), implements a multilevel filtering based on the difference of Gaussians model proposed by Tadmor and Tolhurst (2000) and the new Euclidean color difference formula in log-compressed OSA-UCS space proposed by Oleari et al. (2009). Extensive tests and analysis are presented on four different categories belonging to the well-known Tampere Image Database and on two databases developed at our institution, providing different distortions directly related to color and contrast. Comparisons in performance with other state-of-the-art metrics are also pointed out. Results promote WLF-DEE as a new stable metric for estimating the perceived magnitude of contrast between an original and a reproduction. © 2013 Simone et al.; licensee Springer.
CITATION STYLE
Simone, G., Pedersen, M., Farup, I., & Oleari, C. (2013). Multi-level contrast filtering in image difference metrics. Eurasip Journal on Image and Video Processing, 2013. https://doi.org/10.1186/1687-5281-2013-39
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