Open AccessA Hybrid Approach to Enhance Underwater Images
Author(s) -
Aryan Tyagi,
S. Graceline Jasmine
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1716/1/012050
Subject(s) - underwater , visibility , computer science , color correction , computer vision , artificial intelligence , ideal (ethics) , remote sensing , environmental science , optics , geology , image (mathematics) , oceanography , physics , philosophy , epistemology
Underwater pictures are barely visible due to effects of dispersion and absorption. Due to poor visibility it is very difficult to study underwater environment. Many Techniques have been used to increase the quality of degraded underwater images. This research paper follows the approach which has two major steps. First step is color correction based on grey world hypothesis. The second step is dehazing technique which is used to eradicate camera haziness. The approach suggested is ideal for use in real time application.