Milano-Retinexes are spatial color algorithms based on the original Retinex model. They enhance any input image by processing the local, relative channel intensity differences and pixel spatial positions. The Milano-Retinex approach presented here, catches these local features by exploring the image with paths, which locally minimize an energy functional. The contributions of intensity and spatial cues are tunable by the user: this enables to investigate the effect of these features on the overall image enhancement.

Milano Retinex Paths as Local Minima of an Energy Functional with Tunable Color and Spatial information / M. Lecca, G. Simone, A. Rizzi - In: SIAM Conference on Imaging science : Book of abstracts[s.l] : SIAM, 2018. - pp. 170-170 (( convegno SIAM Conference on Imaging Science tenutosi a Bologna nel 2018.

Milano Retinex Paths as Local Minima of an Energy Functional with Tunable Color and Spatial information

A. Rizzi
2018

Abstract

Milano-Retinexes are spatial color algorithms based on the original Retinex model. They enhance any input image by processing the local, relative channel intensity differences and pixel spatial positions. The Milano-Retinex approach presented here, catches these local features by exploring the image with paths, which locally minimize an energy functional. The contributions of intensity and spatial cues are tunable by the user: this enables to investigate the effect of these features on the overall image enhancement.
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
SIAM
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/615662
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