6533b86ffe1ef96bd12cdd9a
RESEARCH PRODUCT
Multi-level contrast filtering in image difference metrics
Ivar FarupClaudio OleariMarius PedersenGabriele Simonesubject
Difference of GaussiansColor differenceBiometricsbusiness.industryComputer scienceContrast (statistics)Pattern recognitionImage (mathematics)Metric (mathematics)Pattern recognition (psychology)Euclidean geometrySignal ProcessingArtificial intelligenceElectrical and Electronic EngineeringbusinessInformation Systemsdescription
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. This is an Open Access article distributed under the terms of the Creative Commons Attribution License CC BY 2.0 (http://creativecommons.org/licenses/by/2.0)
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-07-16 | EURASIP Journal on Image and Video Processing |