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 Simone | 1 | 77 | 8.42 |
Marius Pedersen | 2 | 171 | 32.96 |
Ivar Farup | 3 | 97 | 18.82 |
Claudio Oleari | 4 | 1 | 1.36 |