%0 Book
%T Underwater image restoration: super-resolution and deblurring via sparse representation and denoising by means of marine snow removal
%A Farhadifard, Fahimeh
%D 2017
%C Rostock
%C Universität Rostock
%G English
%F 1025383222
%O vorgelegt von Fahimeh Farhadifard
%O Dissertation Universität Rostock 2018
%X 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>
%L 004
%9 theses
%9 Text
%9 Hochschulschrift
%R 10.18453/rosdok_id00002088
%U http://rosdok.uni-rostock.de/resolve/urn/urn:nbn:de:gbv:28-diss2018-0082-2
%U https://nbn-resolving.org/urn:nbn:de:gbv:28-diss2018-0082-2
%U https://d-nb.info/129365261X/34
%U https://doi.org/10.18453/rosdok_id00002088