@Book{1025383222,
author="Farhadifard, Fahimeh",
title="Underwater image restoration: super-resolution and deblurring via sparse representation and denoising by means of marine snow removal",
year="2017",
address="Rostock",
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.<eng>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Fahimeh Farhadifard",
note="Dissertation Universit{\"a}t Rostock 2018",
doi="10.18453/rosdok_id00002088",
url="http://rosdok.uni-rostock.de/resolve/urn/urn:nbn:de:gbv:28-diss2018-0082-2",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-diss2018-0082-2",
url="https://d-nb.info/129365261X/34",
url="https://doi.org/10.18453/rosdok_id00002088",
language="English"
}