Title
Multi-level contrast filtering in image difference metrics.
Abstract
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.
Year
DOI
Venue
2013
10.1186/1687-5281-2013-39
EURASIP J. Image and Video Processing
Keywords
Field
DocType
Color Difference, Human Visual System, Image Difference, Global Precedence, CIELAB Color
Magnitude (mathematics),Computer vision,Pattern recognition,Human visual system model,Computer science,Filter (signal processing),Artificial intelligence,Euclidean geometry,Biometrics,Color difference,Global precedence,Difference of Gaussians
Journal
Volume
Issue
ISSN
2013
1
1687-5281
Citations 
PageRank 
References 
1
0.34
11
Authors
4
Name
Order
Citations
PageRank
Gabriele Simone1778.42
Marius Pedersen217132.96
Ivar Farup39718.82
Claudio Oleari411.36