In this work we present two computational models of color perception: Retinex, the famous model due to Land and McCann and ACE, a new algorithm, recently presented by the author and his colleagues. These two algorithms share a common approach to color appearance estimation but different implementations. The poster introduces the two models focusing on differences and common points. An analysis of their computational characteristics illustrates the way Retinex approach has influenced ACE structure and which aspects differ. Their interesting ability in reproducing human vision properties, like lightness and color constancy suggest their use for several applications. Possible applications are: color appearance estimation, image equalization, detail enhancement, film restoration, automatic interface control, contrast correction, high dynamic range images tone mapping, etc… Exemples are presented and discussed.
|Titolo:||Computational models of color perception: characteristics and applications|
RIZZI, ALESSANDRO (Primo)
|Data di pubblicazione:||nov-2004|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Citazione:||Computational models of color perception: characteristics and applications / A.Rizzi. ((Intervento presentato al convegno Representation of reality by brain and machines; crossed views from neuroscience and computer vision tenutosi a Montevideo, Uruguay nel 2004.|
|Appare nelle tipologie:||14 - Intervento a convegno non pubblicato|