Publikation: Dissertationsschrift

Underwater image restoration

Grunddaten
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Underwater image restoration
Untertitel	super-resolution and deblurring via sparse representation and denoising by means of marine snow removal
Erscheinungsjahr	2017
Verlag	Universität Rostock
Verlagsort	Rostock
Publikationsform	Elektronische Ressource
Publikationsart	Dissertationsschrift
Sprache	Englisch
Letzte Änderung	30.06.2018 05:03:35
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/57012
Links zu Katalogen

Abstract

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.

Autor

Farhadifard, Fahimeh

Einrichtung

Fakultät für Informatik und Elektrotechnik (IEF)