Chromaticity improvement using the MSR model in presence of shadows

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© Springer Nature Switzerland AG 2019. One of the main problems in digital images is the illumination conditions affecting different objects due to angle reflection and lightness in a scenario, to solve this the Retinex algorithm is proposed to estimate the illumination source due to the lighting conditions, which in turn causes that the artificial vision algorithms deliver little optimum visual results; particularly this phenomenon is caused by the shadows and the angles of the incident source that produces different reflections from different objects in a scene. So, in this article an algorithm is proposed to diminish the effect of the shadows present in the digital images using the method of Color Constancy of a pixel. The actual proposal presents good inherent characteristics preservation, such as contrast and poor visibility.
Original languageAmerican English
Title of host publicationChromaticity improvement using the MSR model in presence of shadows
Pages624-630
Number of pages560
ISBN (Electronic)9783030011734
DOIs
StatePublished - 1 Jan 2019
EventAdvances in Intelligent Systems and Computing -
Duration: 1 Jan 2019 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume858
ISSN (Print)2194-5357

Conference

ConferenceAdvances in Intelligent Systems and Computing
Period1/01/19 → …

Fingerprint

Lighting
Switzerland
Color

Cite this

Gonzalez, M. D., Rosales Silva, A. J., & Gallegos Funes, F. J. (2019). Chromaticity improvement using the MSR model in presence of shadows. In Chromaticity improvement using the MSR model in presence of shadows (pp. 624-630). (Advances in Intelligent Systems and Computing; Vol. 858). https://doi.org/10.1007/978-3-030-01174-1_48
Gonzalez, Mario Dehesa ; Rosales Silva, Alberto J. ; Gallegos Funes, Francisco J. / Chromaticity improvement using the MSR model in presence of shadows. Chromaticity improvement using the MSR model in presence of shadows. 2019. pp. 624-630 (Advances in Intelligent Systems and Computing).
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Gonzalez, MD, Rosales Silva, AJ & Gallegos Funes, FJ 2019, Chromaticity improvement using the MSR model in presence of shadows. in Chromaticity improvement using the MSR model in presence of shadows. Advances in Intelligent Systems and Computing, vol. 858, pp. 624-630, Advances in Intelligent Systems and Computing, 1/01/19. https://doi.org/10.1007/978-3-030-01174-1_48

Chromaticity improvement using the MSR model in presence of shadows. / Gonzalez, Mario Dehesa; Rosales Silva, Alberto J.; Gallegos Funes, Francisco J.

Chromaticity improvement using the MSR model in presence of shadows. 2019. p. 624-630 (Advances in Intelligent Systems and Computing; Vol. 858).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Gonzalez MD, Rosales Silva AJ, Gallegos Funes FJ. Chromaticity improvement using the MSR model in presence of shadows. In Chromaticity improvement using the MSR model in presence of shadows. 2019. p. 624-630. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-01174-1_48