SCARF: Semi-automatic colorization and reliable image fusion

Anwaar Ul-Haq; Iqbal Gondal; Manzur Murshed

doi:10.1109/DICTA.2010.80

SCARF: Semi-automatic colorization and reliable image fusion

Anwaar Ul-Haq, Iqbal Gondal, Manzur Murshed

Research output: Book chapter/Published conference paper › Conference paper › peer-review

4 Citations (Scopus)

Abstract

Nighttime imagery poses significant challenges to its enhancement due to loss of color information and limitation of single sensor to capture complete visual information at night. To cope with this challenge, multiple sensors are used to capture reliable nighttime imagery which presents additional demands for reliable visual information fusion. In this paper, we present a system, Scarf, which proposes reliable image fusion using advanced feature extraction techniques and a novel semi-automatic colorization based on optimization conformal to human visual system. Subjective and objective quality evaluation proves the effectiveness of proposed system.

Original language	English
Title of host publication	2010 Digital Image Computing
Subtitle of host publication	Techniques and Applications
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	435-440
Number of pages	6
DOIs	https://doi.org/10.1109/DICTA.2010.80
Publication status	Published - 2010

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10.1109/DICTA.2010.80

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title = "SCARF: Semi-automatic colorization and reliable image fusion",

abstract = "Nighttime imagery poses significant challenges to its enhancement due to loss of color information and limitation of single sensor to capture complete visual information at night. To cope with this challenge, multiple sensors are used to capture reliable nighttime imagery which presents additional demands for reliable visual information fusion. In this paper, we present a system, Scarf, which proposes reliable image fusion using advanced feature extraction techniques and a novel semi-automatic colorization based on optimization conformal to human visual system. Subjective and objective quality evaluation proves the effectiveness of proposed system.",

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author = "Anwaar Ul-Haq and Iqbal Gondal and Manzur Murshed",

year = "2010",

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T2 - Semi-automatic colorization and reliable image fusion

AU - Ul-Haq, Anwaar

AU - Gondal, Iqbal

AU - Murshed, Manzur

PY - 2010

Y1 - 2010

N2 - Nighttime imagery poses significant challenges to its enhancement due to loss of color information and limitation of single sensor to capture complete visual information at night. To cope with this challenge, multiple sensors are used to capture reliable nighttime imagery which presents additional demands for reliable visual information fusion. In this paper, we present a system, Scarf, which proposes reliable image fusion using advanced feature extraction techniques and a novel semi-automatic colorization based on optimization conformal to human visual system. Subjective and objective quality evaluation proves the effectiveness of proposed system.

AB - Nighttime imagery poses significant challenges to its enhancement due to loss of color information and limitation of single sensor to capture complete visual information at night. To cope with this challenge, multiple sensors are used to capture reliable nighttime imagery which presents additional demands for reliable visual information fusion. In this paper, we present a system, Scarf, which proposes reliable image fusion using advanced feature extraction techniques and a novel semi-automatic colorization based on optimization conformal to human visual system. Subjective and objective quality evaluation proves the effectiveness of proposed system.

KW - Image Fusion

KW - colorization

U2 - 10.1109/DICTA.2010.80

DO - 10.1109/DICTA.2010.80

M3 - Conference paper

SP - 435

EP - 440

BT - 2010 Digital Image Computing

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

ER -

SCARF: Semi-automatic colorization and reliable image fusion

Abstract

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