A self-adaptive single underwater image restoration algorithm for improving graphic quality

A self-adaptive single underwater image restoration algorithm for improving graphic quality

Abstract A high-quality underwater image is essential to many industrial and academic applications in the field of image processing and analysis. Unfortunately, underwater images frequently demonstrate poor visual quality of low contrast, blurring, darkness, and color diminishing. This paper develop...

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Bibliographic Details
Main Authors: Herng-Hua Chang, Po-Fang Chen, Jun-Kai Guo, Chia-Chi Sung
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Underwater image restoration
Image dehazing
Color correction
Haze removal
Dark channel prior
Online Access:http://link.springer.com/article/10.1186/s13640-020-00528-0

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