Cargando…

Deep Supervised Residual Dense Network for Underwater Image Enhancement

Underwater images are important carriers and forms of underwater information, playing a vital role in exploring and utilizing marine resources. However, underwater images have characteristics of low contrast and blurred details because of the absorption and scattering of light. In recent years, deep...

Descripción completa

Detalles Bibliográficos
Autores principales:	Han, Yanling, Huang, Lihua, Hong, Zhonghua, Cao, Shouqi, Zhang, Yun, Wang, Jing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126201/ https://www.ncbi.nlm.nih.gov/pubmed/34068741 http://dx.doi.org/10.3390/s21093289

Ejemplares similares

DRGAN: Dense Residual Generative Adversarial Network for Image Enhancement in an Underwater Autonomous Driving Device
por: Qian, Jin, et al.
Publicado: (2023)

Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
por: Tarling, Penny, et al.
Publicado: (2022)

Dynamic Residual Dense Network for Image Denoising
por: Song, Yuda, et al.
Publicado: (2019)

A Novel Residual Dense Pyramid Network for Image Dehazing
por: Yin, Shibai, et al.
Publicado: (2019)

RDASNet: Image Denoising via a Residual Dense Attention Similarity Network
por: Tao, Haowu, et al.
Publicado: (2023)

A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis
por: Bilodeau, Stephanie M., et al.
Publicado: (2022)

Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection
por: Laghari, Asif Ali, et al.
Publicado: (2023)

Underwater Holothurian Target-Detection Algorithm Based on Improved CenterNet and Scene Feature Fusion
por: Han, Yanling, et al.
Publicado: (2022)

Multi-Domain Rapid Enhancement Networks for Underwater Images
por: Zhao, Longgang, et al.
Publicado: (2023)

Three-class brain tumor classification using deep dense inception residual network
por: Kokkalla, Srinath, et al.
Publicado: (2021)

Modulation Classification of Underwater Communication with Deep Learning Network
por: Wang, Yan, et al.
Publicado: (2019)

Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns
por: Najafian, Keyhan, et al.
Publicado: (2023)

DAR-Net: Dense Attentional Residual Network for Vehicle Detection in Aerial Images
por: Li, Kaifeng, et al.
Publicado: (2021)

Underwater Acoustic Target Recognition Based on Attention Residual Network
por: Li, Juan, et al.
Publicado: (2022)

DRI-Net: segmentation of polyp in colonoscopy images using dense residual-inception network
por: Lan, Xiaoke, et al.
Publicado: (2023)

Weakly supervised underwater fish segmentation using affinity LCFCN
por: Laradji, Issam H., et al.
Publicado: (2021)

Enhancing the Reliability of Head Nodes in Underwater Sensor Networks
por: Min, Hong, et al.
Publicado: (2012)

Spectrum Sensing Method Based on Residual Dense Network and Attention
por: Wang, Anyi, et al.
Publicado: (2023)

Super-Resolution Reconstruction of Speckle Images of Engineered Bamboo Based on an Attention-Dense Residual Network
por: Yu, Wei, et al.
Publicado: (2022)

Underwater Fish Segmentation Algorithm Based on Improved PSPNet Network
por: Han, Yanling, et al.
Publicado: (2023)

Underwater Distortion Target Recognition Network (UDTRNet) via Enhanced Image Features
por: Cai, Lei, et al.
Publicado: (2021)

A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network
por: Chen, Yuhan, et al.
Publicado: (2023)

Underwater Acoustic Target Recognition Based on Supervised Feature-Separation Algorithm
por: Ke, Xiaoquan, et al.
Publicado: (2018)

Enhancement and Optimization of Underwater Images and Videos Mapping
por: Li, Chengda, et al.
Publicado: (2023)

Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss
por: Zhang, Lun, et al.
Publicado: (2022)

Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning
por: Wu, Jing, et al.
Publicado: (2020)

Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition
por: Yang, Honghui, et al.
Publicado: (2018)

Joint Dense Residual and Recurrent Attention Network for DCE-MRI Breast Tumor Segmentation
por: Qin, ChuanBo, et al.
Publicado: (2022)

Design and Performance Evaluation of a Deep Neural Network for Spectrum Recognition of Underwater Targets
por: Liu, Dali, et al.
Publicado: (2020)

Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks
por: Chen, Siwei, et al.
Publicado: (2022)

Deep and Densely Connected Networks for Classification of Diabetic Retinopathy
por: Riaz, Hamza, et al.
Publicado: (2020)

An Underwater Cooperative Spectrum Sharing Protocol for a Centralized Underwater Cognitive Acoustic Network
por: Yun, Changho
Publicado: (2022)

An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network
por: Jiang, Xiao, et al.
Publicado: (2023)

Acoustic Classification of Surface and Underwater Vessels in the Ocean Using Supervised Machine Learning
por: Choi, Jongkwon, et al.
Publicado: (2019)

ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images
por: Saha, Sanjib, et al.
Publicado: (2023)

PDRF-Net: a progressive dense residual fusion network for COVID-19 lung CT image segmentation
por: Lu, Xiaoyan, et al.
Publicado: (2023)

Deep Residual Network in Network
por: Alaeddine, Hmidi, et al.
Publicado: (2021)

Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna
por: Dumke, Ines, et al.
Publicado: (2018)

Self-Supervised Denoising Image Filter Based on Recursive Deep Neural Network Structure
por: Kang, Changhee, et al.
Publicado: (2021)

Dense Convolutional Network and Its Application in Medical Image Analysis
por: Zhou, Tao, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_pr5igmu8rd41ls5l81e82ie6b4