A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos

Kalyan Halder; Manoranjan Paul; Murat Tahtali; Sreenatha G Anavatti; Manzur Murshed

doi:10.1109/DICTA.2016.7796985

A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos

Kalyan Halder, Manoranjan Paul, Murat Tahtali, Sreenatha G Anavatti, Manzur Murshed

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

4 Downloads (Pure)

Abstract

This paper addresses the problem of stabilizing underwater videos with nonuniform geometric deformations or warping due to a wavy water surface. It presents an improved method to correct these geometric deformations of the frames, providing a high-quality stabilized video output. For this purpose, a non-rigid image registration technique is employed to accurately align the warped frames with respect to a prototype frame and to estimate the deformation parameters, which in turn, are applied in an image dewarping technique. The prototype frame is chosen from the video sequence based on a sharpness assessment. The effectiveness of the proposed method is validated by applying it on both synthetic and real-world sequences using various quality metrics. A performance comparison with an existing method confirms the higher efficacy of the proposed method.

Original language	English
Title of host publication	Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509028962
ISBN (Print)	9781509028979
DOIs	https://doi.org/10.1109/DICTA.2016.7796985
Publication status	Published - 2016
Event	2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Mantra on View Hotel, Surfer's Paradise, Australia Duration: 30 Nov 2016 → 02 Dec 2016 http://dicta2016.dictaconference.org/

Conference

Conference	2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Country	Australia
City	Surfer's Paradise
Period	30/11/16 → 02/12/16
Internet address	http://dicta2016.dictaconference.org/

Access to Document

10.1109/DICTA.2016.7796985

Fingerprint Dive into the research topics of 'A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos'. Together they form a unique fingerprint.

Cite this

Halder, K., Paul, M., Tahtali, M., Anavatti, S. G., & Murshed, M. (2016). A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos. In Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-6). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2016.7796985

Halder, Kalyan ; Paul, Manoranjan ; Tahtali, Murat ; Anavatti, Sreenatha G ; Murshed, Manzur. / A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos. Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications. United States : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 1-6

@inproceedings{38a9b1e5e5bf4195bb6fab4979129579,

title = "A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos",

abstract = "This paper addresses the problem of stabilizing underwater videos with nonuniform geometric deformations or warping due to a wavy water surface. It presents an improved method to correct these geometric deformations of the frames, providing a high-quality stabilized video output. For this purpose, a non-rigid image registration technique is employed to accurately align the warped frames with respect to a prototype frame and to estimate the deformation parameters, which in turn, are applied in an image dewarping technique. The prototype frame is chosen from the video sequence based on a sharpness assessment. The effectiveness of the proposed method is validated by applying it on both synthetic and real-world sequences using various quality metrics. A performance comparison with an existing method confirms the higher efficacy of the proposed method.",

author = "Kalyan Halder and Manoranjan Paul and Murat Tahtali and Anavatti, {Sreenatha G} and Manzur Murshed",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = USA: IEEE, 2016. Event dates (773o) = 30 Nov - 2 Dec 2016; Parent title (773t) = IEEE International Conference on Digital Image Computing: Techniques and Applications.; 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) ; Conference date: 30-11-2016 Through 02-12-2016",

year = "2016",

doi = "10.1109/DICTA.2016.7796985",

language = "English",

isbn = "9781509028979",

pages = "1--6",

booktitle = "Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

url = "http://dicta2016.dictaconference.org/",

}

Halder, K, Paul, M, Tahtali, M, Anavatti, SG & Murshed, M 2016, A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos. in Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 1-6, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Surfer's Paradise, Australia, 30/11/16. https://doi.org/10.1109/DICTA.2016.7796985

A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos. / Halder, Kalyan; Paul, Manoranjan; Tahtali, Murat; Anavatti, Sreenatha G; Murshed, Manzur.

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications. United States : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 1-6.

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

TY - GEN

T1 - A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos

AU - Halder, Kalyan

AU - Paul, Manoranjan

AU - Tahtali, Murat

AU - Anavatti, Sreenatha G

AU - Murshed, Manzur

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: IEEE, 2016. Event dates (773o) = 30 Nov - 2 Dec 2016; Parent title (773t) = IEEE International Conference on Digital Image Computing: Techniques and Applications.

PY - 2016

Y1 - 2016

N2 - This paper addresses the problem of stabilizing underwater videos with nonuniform geometric deformations or warping due to a wavy water surface. It presents an improved method to correct these geometric deformations of the frames, providing a high-quality stabilized video output. For this purpose, a non-rigid image registration technique is employed to accurately align the warped frames with respect to a prototype frame and to estimate the deformation parameters, which in turn, are applied in an image dewarping technique. The prototype frame is chosen from the video sequence based on a sharpness assessment. The effectiveness of the proposed method is validated by applying it on both synthetic and real-world sequences using various quality metrics. A performance comparison with an existing method confirms the higher efficacy of the proposed method.

AB - This paper addresses the problem of stabilizing underwater videos with nonuniform geometric deformations or warping due to a wavy water surface. It presents an improved method to correct these geometric deformations of the frames, providing a high-quality stabilized video output. For this purpose, a non-rigid image registration technique is employed to accurately align the warped frames with respect to a prototype frame and to estimate the deformation parameters, which in turn, are applied in an image dewarping technique. The prototype frame is chosen from the video sequence based on a sharpness assessment. The effectiveness of the proposed method is validated by applying it on both synthetic and real-world sequences using various quality metrics. A performance comparison with an existing method confirms the higher efficacy of the proposed method.

U2 - 10.1109/DICTA.2016.7796985

DO - 10.1109/DICTA.2016.7796985

M3 - Conference paper

SN - 9781509028979

SP - 1

EP - 6

BT - Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

T2 - 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

Y2 - 30 November 2016 through 2 December 2016

ER -

Halder K, Paul M, Tahtali M, Anavatti SG, Murshed M. A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos. In Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications. United States: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 1-6 https://doi.org/10.1109/DICTA.2016.7796985