10.18453/rosdok_id00002088
Farhadifard, Fahimeh
Fahimeh
Farhadifard
http://d-nb.info/gnd/1161750770
Underwater image restoration
Universität Rostock
2018
000 Generalities, Science
004 Data processing Computer sciences
2018
en
http://purl.uni-rostock.de/rosdok/id00002088
urn:nbn:de:gbv:28-diss2018-0082-2
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.