Images acquired with capture devices often show chrmoatic shifts when compared to the original scene. Within the image reproduction pipeline, display devices, such as monitors or print media, limit the maximum dynamic range opening up a problem of accurate reproduction of theluminance dynamics and color distribution. In creating algorithm to interpret and reproduce image data we confront the same challenges as the visual system and to improve the performances of our computational model, derived by Edwins Land's Retinex theory of human vision, we found very useful to emulate the same kind of neural transformations undertaken by the human visual brain.
Revealing colors / L. Lumer, D. Gadia, L. DE CARLI, D. Marini - In: Computing and Philosophy / L. Magnani. - Pavia : AIAP, 2006. - ISBN 88-89659-02-5. - pp. 51-58
Revealing colors
D. GadiaSecondo
;L. DE CARLIPenultimo
;D. MariniUltimo
2006
Abstract
Images acquired with capture devices often show chrmoatic shifts when compared to the original scene. Within the image reproduction pipeline, display devices, such as monitors or print media, limit the maximum dynamic range opening up a problem of accurate reproduction of theluminance dynamics and color distribution. In creating algorithm to interpret and reproduce image data we confront the same challenges as the visual system and to improve the performances of our computational model, derived by Edwins Land's Retinex theory of human vision, we found very useful to emulate the same kind of neural transformations undertaken by the human visual brain.Pubblicazioni consigliate
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