Raindrop Removal With Light Field Image Using Image Inpainting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341943" target="_blank" >RIV/68407700:21230/20:00341943 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ACCESS.2020.2981641" target="_blank" >https://doi.org/10.1109/ACCESS.2020.2981641</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2020.2981641" target="_blank" >10.1109/ACCESS.2020.2981641</a>
Alternative languages
Result language
angličtina
Original language name
Raindrop Removal With Light Field Image Using Image Inpainting
Original language description
In this paper, we propose a method that removes raindrops with light field image using image inpainting. We first use the depth map generated from light field image to detect raindrop regions which are then expressed as a binary mask. The original image with raindrops is improved by refocusing on the far regions and filtering by a high-pass filter. With the binary mask and the enhanced image, image inpainting is then utilized to eliminate raindrops from the original image. We compare pre-trained models of several deep learning based image inpainting methods. A light field raindrop dataset is released to verify our method. Image quality analysis is performed to evaluate the proposed image restoration method. The recovered images are further applied to object detection and visual localization tasks.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
2020
Issue of the periodical within the volume
8
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
58416-58426
UT code for WoS article
000536027500001
EID of the result in the Scopus database
2-s2.0-85083037548