Evaluation of color transfer algorithm in IR images nocturnal scenes

Andre Herrera-Chacon; Luis Chavarria-Zamora

doi:10.1109/URUCON53396.2021.9647378

Evaluation of color transfer algorithm in IR images nocturnal scenes

Andre Herrera-Chacon
, Luis Chavarria-Zamora

Escuela de Ingeniería en Computadores

Costa Rica Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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].

Original language	English
Title of host publication	2021 IEEE URUCON, URUCON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	382-385
Number of pages	4
ISBN (Electronic)	9781665424431
DOIs	https://doi.org/10.1109/URUCON53396.2021.9647378
State	Published - 2021
Event	2021 IEEE URUCON, URUCON 2021 - Montevideo, Uruguay Duration: 24 Nov 2021 → 26 Nov 2021

Publication series

Name	2021 IEEE URUCON, URUCON 2021

Conference

Conference	2021 IEEE URUCON, URUCON 2021
Country/Territory	Uruguay
City	Montevideo
Period	24/11/21 → 26/11/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

IR
color-transfer
image-processing

Access to Document

10.1109/URUCON53396.2021.9647378

Cite this

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title = "Evaluation of color transfer algorithm in IR images nocturnal scenes",

abstract = "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].",

keywords = "IR, color-transfer, image-processing",

author = "Andre Herrera-Chacon and Luis Chavarria-Zamora",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE URUCON, URUCON 2021 ; Conference date: 24-11-2021 Through 26-11-2021",

year = "2021",

doi = "10.1109/URUCON53396.2021.9647378",

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AU - Herrera-Chacon, Andre

AU - Chavarria-Zamora, Luis

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 - https://www.scopus.com/pages/publications/85124344779

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 -

Evaluation of color transfer algorithm in IR images nocturnal scenes

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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