TY - GEN
T1 - Evaluation of color transfer algorithm in IR images nocturnal scenes
AU - Herrera-Chacon, Andre
AU - Chavarria-Zamora, Luis
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Color transfer is one of the main concerns on automatic colorization of gray-scale images [1]. Modern approaches were created based on Welsh's colorization algorithm, improving the core method but relying on specialized hardware. In this paper, we explored a series of algorithms, previously tested in gray-scale image scenarios, to colorize night-vision images on common security systems using affordable hardware. In addition, we demonstrated the efficiency of borrowing color from standard to IR images applying a similarity function integrating luminance information and chromatic values of previously colorized pixels [2].
AB - Color transfer is one of the main concerns on automatic colorization of gray-scale images [1]. Modern approaches were created based on Welsh's colorization algorithm, improving the core method but relying on specialized hardware. In this paper, we explored a series of algorithms, previously tested in gray-scale image scenarios, to colorize night-vision images on common security systems using affordable hardware. In addition, we demonstrated the efficiency of borrowing color from standard to IR images applying a similarity function integrating luminance information and chromatic values of previously colorized pixels [2].
KW - IR
KW - color-transfer
KW - image-processing
UR - http://www.scopus.com/inward/record.url?scp=85124344779&partnerID=8YFLogxK
U2 - 10.1109/URUCON53396.2021.9647378
DO - 10.1109/URUCON53396.2021.9647378
M3 - Contribución a la conferencia
AN - SCOPUS:85124344779
T3 - 2021 IEEE URUCON, URUCON 2021
SP - 382
EP - 385
BT - 2021 IEEE URUCON, URUCON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE URUCON, URUCON 2021
Y2 - 24 November 2021 through 26 November 2021
ER -