Abstract
Underwater Image Enhancement is One of the Most Essential and Fundamental Tasks in Ocean Investigations Recent Years. in This Paper, We Made an Attempt to Develop One Adaptive Underwater Image Enhancement Approach with the Help of the Virtual Retina Model and the Image Quality Assessment (IQA). the Virtual Retina Model, Which Yields Comparatively High Correlation with the Human Vision System, is First Taken to Achieve Simultaneous Ambiguity Removing and Detail Enhancing of Single Image Due to the Specific Mechanisms of Different Retinal Sub-Layers. after This, an Adaptive Image Enhancement Strategy is Taken with One Kind of No-Reference Image Quality Assessment based Patch Discrete Cosine Transform (PDCT), Which Indicates Whether the Image Patches Are Naturally Uniform or Not. It is Shown in the Simulation Experiment that the Proposed Approach Could Achieve Great Performances in Both Robustness and Effectiveness, with Good Behaviors in the Vision Effects and Precision for the Underwater Images.
Recommended Citation
Y. Wang et al., "Underwater Image Enhancement Strategy with Virtual Retina Model and Image Quality Assessment," OCEANS 2016 MTS/IEEE Monterey, OCE 2016, article no. 7761381, Institute of Electrical and Electronics Engineers, Nov 2016.
The definitive version is available at https://doi.org/10.1109/OCEANS.2016.7761381
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Adaptive image enhancement; Non-reference image quality assessment; Patch Discrete Cosine Transform; Virtual retina model
International Standard Book Number (ISBN)
978-150901537-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
28 Nov 2016
