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Enhancement-Registration-Homogenization (ERH): A Comprehensive Underwater Visual Reconstruction Paradigm.

Authors :
Song, Huajun
Chang, Laibin
Chen, Ziwei
Ren, Peng
Source :
IEEE Transactions on Pattern Analysis & Machine Intelligence. Oct2022, Vol. 44 Issue 10, p6953-6967. 15p.
Publication Year :
2022

Abstract

This paper presents a comprehensive underwater visual reconstruction paradigm that comprises three procedures, i.e., the E-procedure, the R-procedure, and the H-procedure. The E-procedure $enhance$ e n h a n c e s original underwater images based on color compensation balance and weighted image fusion, yielding restored color, sharpened edges, and global contrast. The R-procedure $register$ r e g i s t e r s multiple enhanced underwater images by exploiting global similarity and local deformation. The H-procedure $homogenize$ h o m o g e n i z e s the registered underwater images by multi-scale composition strategy, which eliminates the inhomogeneous transition and brightness difference across overlapping regions, resulting in a reconstructed wide-field underwater image with comfortable and natural visibility. The three procedures operate in a cascade where the former procedure processes underwater images in a way that facilitates the latter one. We refer to the overall three procedures as the Enhancement-Registration-Homogenization (ERH) paradigm. Comprehensive qualitative and quantitative empirical evaluations reveal that our ERH paradigm outperforms state-of-the-art visual reconstruction methods, including the AutoStitch, APAP, SPHP, APNAP, and REW. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01628828
Volume :
44
Issue :
10
Database :
Academic Search Index
Journal :
IEEE Transactions on Pattern Analysis & Machine Intelligence
Publication Type :
Academic Journal
Accession number :
159210598
Full Text :
https://doi.org/10.1109/TPAMI.2021.3097804