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Farhadifard,  Fahimeh

Underwater image restoration  : super-resolution and deblurring via sparse representation and denoising by means of marine snow removal

Rostock : Universität , 2018

https://doi.org/10.18453/rosdok_id00002088

http://purl.uni-rostock.de/rosdok/id00002088

Underwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise. In the light of these issues, this thesis considers problems of low-resolution, blurred and noisy underwater images and proposes several approaches to improve the quality of such images/video frames. Quantitative and qualitative experiments validate the success of proposed algorithms.

Dissertation Open Access


Einrichtung :
Fakultät für Informatik und Elektrotechnik
Gutachter :
Urban,  Bodo  (Prof. Dr. -Ing)
Freiherr von Lukas,  Uwe  (Prof. Dr. -Ing)
Koch,  Reinhard  (Prof. Dr. -Ing)
Jahr der Abgabe:
2017
Jahr der Verteidigung:
2018
Sprache(n) :
Englisch
Schlagworte:
image restoration, image super-resolution, image deblurring, marine snow removal
DDC Klassifikation :
000 Allgemeines, Wissenschaft
004 Informatik
URN :
urn:nbn:de:gbv:28-diss2018-0082-2
Persistente URL:
http://purl.uni-rostock.de/rosdok/id00002088
erstellt am:
2018-06-26
zuletzt geändert am:
2018-06-30
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