18 research outputs found
Spatial and temporal variation of the benthic macrofauna in a grossly polluted estuary from southwestern Spain
Interdependence of the Hue, Value, and Chroma in the Middle Site of Anterior Human Teeth
How to escape male infanticide: mechanisms for avoiding or terminating pregnancy in mammals
Evaluation of polymerization-dependent changes in color and translucency of resin composites using two formulae
Aboveground Biomass Patterns of Dominant Spartina Species and Their Relationship with Selected Abiotic Variables in Argentinean SW Atlantic Marshes
Multi-level contrast filtering in image difference metrics
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