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A Survey of Target Detection and Recognition Methods in Underwater Turbid Areas

Xin Yuan, Linxu Guo, Citong Luo, Xiaoteng Zhou, Changli Yu
2022 Applied Sciences  
Existing target recognition methods are divided into three modules: target detection based on deep learning methods, underwater image restoration and enhancement approaches, and underwater image processing  ...  methods based on polarization imaging technology and scattering.  ...  This work focuses on target detection methods based on deep learning, some underwater image restoration enhancement methods, and underwater image processing methods based on polarization imaging, which  ... 
doi:10.3390/app12104898 fatcat:ytmjcsquhjbs5fpqllbsl3vrzq

Visibility Enhancement and Fog Detection: Solutions Presented in Recent Scientific Papers with Potential for Application to Mobile Systems

Răzvan-Cătălin Miclea, Vlad-Ilie Ungureanu, Florin-Daniel Sandru, Ioan Silea
2021 Sensors  
Our focus is on the fog phenomenon, and here, we present published research about methods based on image processing, optical power measurement, systems of sensors, etc.  ...  In mobile systems, fog, rain, snow, haze, and sun glare are natural phenomena that can be very dangerous for drivers.  ...  The hazy image is decomposed into a halo layer and a scene layer to remove the influence of multiple scattering. Then, the spatially varying ambient illumination is estimated based on Retinex theory.  ... 
doi:10.3390/s21103370 pmid:34066176 fatcat:owkgxijv2bccjn2y3vzoxw2hka

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages.  ...  Gui, TIP 2021 5754-5768 Deep Learning-Based Forgery Attack on Document Images.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Autonomous Driving in Adverse Weather Conditions: A Survey [article]

Yuxiao Zhang, Alexander Carballo, Hanting Yang, Kazuya Takeda
2021 arXiv   pre-print
a holistic overview on the obstacles and directions of ADS development in terms of adverse weather driving conditions.  ...  State-of-the-art techniques on perception enhancement with regard to each kind of weather are thoroughly reported.  ...  In: IEEE Transactions on Image Process- hazing motivated by Retinex theory”.  ... 
arXiv:2112.08936v1 fatcat:hmgjhywy7rgx3fgrk6yxnu56ie

2019 Index IEEE Photonics Journal Vol. 11

2019 IEEE Photonics Journal  
., and Zhao, J., Fano-  ...  Wang, N., +, Pseudo-polarimetric Method for Dense Haze Removal. Li, X., +, JPHOT Feb. 2019 6900611 Resolution-Enhancement for an Integral Imaging Microscopy Using Deep Learning.  ...  ., +, JPHOT Dec. 2019 3900912 On OCT Image Classification via Deep Learning.  ... 
doi:10.1109/jphot.2020.2969544 fatcat:i2xladbx5fff7fhlgng2n4nc3e

Machine Vision for Improved Human-Robot Cooperation in Adverse Underwater Conditions [article]

Md Jahidul Islam
2021 arXiv   pre-print
The research outcomes entail novel design and efficient implementation of the underlying vision and learning-based algorithms with extensive field experimental validations and feasibility analyses for  ...  In addition to advancing the state-of-the-art, the proposed methodologies and systems take us one step closer toward bridging the gap between theory and practice for improved human-robot cooperation in  ...  These approaches are inspired by the Retinex theory of human visual perception [147, 23, 148] , and mainly focus on restoring background illumination and lightness rendition.  ... 
arXiv:1911.07623v2 fatcat:tb7voaqrlbgtfgzvdwvjfr64vu