The Retinex theory of Edwin Land proposed a model of human color vision based on color perception experiments. The original Retinex algorithm, by Land and McCann, is capable of performing color correction and contrast enhancement of images, with some limitations regarding overexposed pictures and visual artifacts stemming from its implementation based on one dimensional paths. By replacing these paths by two dimensional kernels while maintaining all the basic tenets of the theory, another Retinex algorithm was obtained which does not produce artifacts and that can be extended into a variational formulation allowing to handle naturally both over and underexposed images. Furthermore, this variational formulation linked Retinex with histogram equalization in image processing and with efficiency of representation and lightness induction in visual neuroscience. This workshop aims to provide the attendants with a novel look at the Retinex theory of color vision, seeing its contributions in a different light and showing the potential for applications to problems in image processing and computer graphics such as color constancy, contrast enhancement, haze removal, tone mapping of high dynamic range images, gamut reduction and gamut extension for cinema, and color transfer.
Spatial color algorithms: Milano retinex and NASA retinex / A. Rizzi. ((Intervento presentato al convegno Color Imaging Conference CIC22 tenutosi a Boston nel 2014.
|Titolo:||Spatial color algorithms: Milano retinex and NASA retinex|
|Data di pubblicazione:||nov-2014|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Citazione:||Spatial color algorithms: Milano retinex and NASA retinex / A. Rizzi. ((Intervento presentato al convegno Color Imaging Conference CIC22 tenutosi a Boston nel 2014.|
|Appare nelle tipologie:||14 - Intervento a convegno non pubblicato|