TY - GEN
T1 - Cromaticity improvement in images with poor lighting using the Multiscale-Retinex MSR algorithm
AU - Mario, Dehesa Gonzalez
AU - Alberto, J. Rosales Silva
AU - Francisco, J. Gallegos Funes
AU - Ponomaryov, Volodymyr
AU - Kravchenko, Victor
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - An important factor when realizing image capture using electronic means (photographic or video camera), is the lighting source type present at the capture moment. If the lighting is deficient, the information present in the image is hidden for the Human Vision System (HVS), such that the color and detail characteristics introduce values with low luminance. As a solution for this lighting problem, the Multiscale-Retinex (MSR) algorithm is proposed, based on the understanding of how the HVS interprets and adapts the perception of colors. This solution can be used as a preprocessing stage to correct the lack of an adequate lighting source like the standard illuminant D65 (light source with similar characteristics to midday sunlight). The MSR algorithm increase the chromatic content of the image, this improves the objects visibility in the scene. The lack effects of lighting are minimized and its magnitude content evaluates the resulting chromaticity vector to characterize the MSR.
AB - An important factor when realizing image capture using electronic means (photographic or video camera), is the lighting source type present at the capture moment. If the lighting is deficient, the information present in the image is hidden for the Human Vision System (HVS), such that the color and detail characteristics introduce values with low luminance. As a solution for this lighting problem, the Multiscale-Retinex (MSR) algorithm is proposed, based on the understanding of how the HVS interprets and adapts the perception of colors. This solution can be used as a preprocessing stage to correct the lack of an adequate lighting source like the standard illuminant D65 (light source with similar characteristics to midday sunlight). The MSR algorithm increase the chromatic content of the image, this improves the objects visibility in the scene. The lack effects of lighting are minimized and its magnitude content evaluates the resulting chromaticity vector to characterize the MSR.
KW - color
KW - lighting
KW - retinex
KW - vision
UR - http://www.scopus.com/inward/record.url?scp=84988025856&partnerID=8YFLogxK
U2 - 10.1109/MSMW.2016.7538173
DO - 10.1109/MSMW.2016.7538173
M3 - Contribución a la conferencia
AN - SCOPUS:84988025856
T3 - 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
BT - 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves, MSMW 2016
Y2 - 20 June 2016 through 24 June 2016
ER -