Impact of Dehazing on Underwater Marker Detection for Augmented
Reality

J 2018

Impact of Dehazing on Underwater Marker Detection for Augmented Reality

ŽUŽI, Marek; Jan ČEJKA; Fabio BRUNO; Dimitrios SKARLATOS; Fotis LIAROKAPIS et al.

Základní údaje

Originální název

Impact of Dehazing on Underwater Marker Detection for Augmented Reality

Autoři

ŽUŽI, Marek; Jan ČEJKA; Fabio BRUNO; Dimitrios SKARLATOS a Fotis LIAROKAPIS

Vydání

Frontiers in Robotics and AI, 2018, 2296-9144

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/18:00103492

Organizační jednotka

Fakulta informatiky

Klíčová slova česky

dehazing; image restoration; underwater images; augmented reality; markers; tracking

Klíčová slova anglicky

dehazing; image restoration; underwater images; augmented reality; markers; tracking

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 3. 5. 2019 14:57, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

Underwater augmented reality is a very challenging task and amongst several issues, one of the most crucial aspects involves real-time tracking. Particles present in water combined with the uneven absorption of light decrease the visibility in the underwater environment. Dehazing methods are used in many areas to improve the quality of digital image data that is degraded by the influence of the environment. This paper describes the visibility conditions affecting underwater scenes and shows existing dehazing techniques that successfully improve the quality of underwater images. Four underwater dehazing methods are selected for evaluation of their capability of improving the success of square marker detection in underwater videos. Two reviewed methods represent approaches of image restoration: Multi-Scale Fusion, and Bright Channel Prior. Another two methods evaluated, the Automatic Color Enhancement and the Screened Poisson Equation, are methods of image enhancement. The evaluation uses diverse test data set to evaluate different environmental conditions. Results of the evaluation show an increased number of successful marker detections in videos pre-processed by dehazing algorithms and evaluate the performance of each compared method. The Screened Poisson method performs slightly better to other methods across various tested environments, while Bright Channel Prior and Automatic Color Enhancement shows similarly positive results.

Návaznosti

727153, interní kód MU

Název: Advanced VR, iMmersive serious games and augmented reality as tools to raise awareness and access to European underwater Cultural heritage (Akronym: iMARECULTURE)

Investor: Evropská unie, Advanced VR, iMmersive serious games and augmented reality as tools to raise awareness and access to European underwater Cultural heritage, Europe in a changing world - inclusive, innovative and reflective Societies (Societal Challenges)

Citovat

ŽUŽI, Marek; Jan ČEJKA; Fabio BRUNO; Dimitrios SKARLATOS a Fotis LIAROKAPIS. Impact of Dehazing on Underwater Marker Detection for Augmented Reality. Frontiers in Robotics and AI. 2018, roč. 5, č. 92, s. 1-13. ISSN 2296-9144. Dostupné z: https://doi.org/10.3389/frobt.2018.00092.

@article{1429556,
   author = {Žuži, Marek and Čejka, Jan and Bruno, Fabio and Skarlatos, Dimitrios and Liarokapis, Fotis},
   article_number = {92},
   doi = {https://doi.org/10.3389/frobt.2018.00092},
   keywords = {dehazing; image restoration; underwater images; augmented reality; markers; tracking},
   language = {eng},
   issn = {2296-9144},
   journal = {Frontiers in Robotics and AI},
   title = {Impact of Dehazing on Underwater Marker Detection for Augmented Reality},
   url = {https://www.frontiersin.org/articles/10.3389/frobt.2018.00092/full},
   volume = {5},
   year = {2018}
}

TY  - JOUR
ID  - 1429556
AU  - Žuži, Marek - Čejka, Jan - Bruno, Fabio - Skarlatos, Dimitrios - Liarokapis, Fotis
PY  - 2018
TI  - Impact of Dehazing on Underwater Marker Detection for Augmented Reality
JF  - Frontiers in Robotics and AI
VL  - 5
IS  - 92
SP  - 1-13
EP  - 1-13
SN  - 22969144
KW  - dehazing
KW  - image restoration
KW  - underwater images
KW  - augmented reality
KW  - markers
KW  - tracking
UR  - https://www.frontiersin.org/articles/10.3389/frobt.2018.00092/full
N2  - Underwater augmented reality is a very challenging task and amongst several issues, one of the most crucial aspects involves real-time tracking. Particles present in water combined with the uneven absorption of light decrease the visibility in the underwater environment. Dehazing methods are used in many areas to improve the quality of digital image data that is degraded by the influence of the environment. This paper describes the visibility conditions affecting underwater scenes and shows existing dehazing techniques that successfully improve the quality of underwater images. Four underwater dehazing methods are selected for evaluation of their capability of improving the success of square marker detection in underwater videos. Two reviewed methods represent approaches of image restoration: Multi-Scale Fusion, and Bright Channel Prior. Another two methods evaluated, the Automatic Color Enhancement and the Screened Poisson Equation, are methods of image enhancement. The evaluation uses diverse test data set to evaluate different environmental conditions. Results of the evaluation show an increased number of successful marker detections in videos pre-processed by dehazing algorithms and evaluate the performance of each compared method. The Screened Poisson method performs slightly better to other methods across various tested environments, while Bright Channel Prior and Automatic Color Enhancement shows similarly positive results.
ER  -

ŽUŽI, Marek; Jan ČEJKA; Fabio BRUNO; Dimitrios SKARLATOS a Fotis LIAROKAPIS. Impact of Dehazing on Underwater Marker Detection for Augmented Reality. \textit{Frontiers in Robotics and AI}. 2018, roč.~5, č.~92, s.~1-13. ISSN~2296-9144. Dostupné z: https://doi.org/10.3389/frobt.2018.00092.

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