Random spray Retinex: a new Retinex implementation to investigate the local properties of the model.
In order to investigate the local filtering behavior of the Retinex model, we propose a new implementation in which paths are replaced by 2-D pixel sprays, hence the name "random spray Retinex." A peculiar feature of this implementation is the way its parameters can be controlled to perform spatial investigation. The parameters' tuning is accomplished by an unsupervised method based on quantitative measures. This procedure has been validated via user panel tests. Furthermore, the spray approach has faster performances than the path-wise one. Tests and results are presented and discussed.
Provenzi
Edoardo
E
Dipartimento di Tecnologie dell'Informazione, Università di Milano, 26013 Crema (CR), Italy. provenzi@dti.unimi.it
Fierro
Massimo
M
Rizzi
Alessandro
A
De Carli
Luca
L
Gadia
Davide
D
Marini
Daniele
D
D000465:Algorithms; D001185:Artificial Intelligence; D032701:Biomimetics / Q000379:methods*; D003118:Color Perception; D003124:Colorimetry / Q000379:methods*; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted