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Multi-scale adversarial network for underwater image restoration

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Advances in Underwater Robot Vehicles for Deep Ocean Exploration: Navigation, Control, and Survey Operations
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
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Underwater Optical Image Processing: a Comprehensive Review
inferredcites →https://doi.org/10.1016/b978-0-12-336156-1.50061-6openalex-snapshot
Contrast Limited Adaptive Histogram Equalization
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Underwater image quality enhancement through integrated color model with Rayleigh distribution
inferredcites →https://doi.org/10.1016/j.jvcir.2014.11.006openalex-snapshot
Automatic Red-Channel underwater image restoration
inferredcites →https://doi.org/10.1016/j.patcog.2017.11.007openalex-snapshot
Deep visual tracking: Review and experimental comparison
inferredcites →https://doi.org/10.1016/s0141-9331(98)00083-0openalex-snapshot
THETIS: an underwater remotely operated vehicle for water pollution measurements
inferredcites →https://doi.org/10.1016/s0146-664x(77)80011-7openalex-snapshot
Image enhancement by histogram transformation
inferredcites →https://doi.org/10.1016/s0262-4079(11)61131-7openalex-snapshot
Weird and wild underwater creatures
inferredcites →https://doi.org/10.1109/30.468045openalex-snapshot
Automatic white balance for digital still camera
inferredcites →https://doi.org/10.1109/48.50695openalex-snapshot
Computer modeling and the design of optimal underwater imaging systems
inferredcites →https://doi.org/10.1109/access.2017.2753796openalex-snapshot
Underwater Image Restoration via Maximum Attenuation Identification
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.185openalex-snapshot
Non-local Image Dehazing
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.19openalex-snapshot
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr14067.2009openalex-snapshot
2009 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/icassp.2004.1327021openalex-snapshot
2004 IEEE International Conference on Acoustics, Speech and Signal Processing
inferredcites →https://doi.org/10.1109/icassp.2016.7471973openalex-snapshot
Single underwater image restoration by blue-green channels dehazing and red channel correction
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv19984.2013openalex-snapshot
2013 IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/icpads.2016.0168openalex-snapshot
Super Resolving of the Depth Map for 3D Reconstruction of Underwater Terrain Using Kinect
inferredcites →https://doi.org/10.1109/icra.2018.8460552openalex-snapshot
Enhancing Underwater Imagery Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/igarss.2007.4423193openalex-snapshot
Automated underwater image restoration and retrieval of related optical properties
inferredcites →https://doi.org/10.1109/igarss15042.2009openalex-snapshot
2009 IEEE International Geoscience and Remote Sensing Symposium
inferredcites →https://doi.org/10.1109/imcec.2016.7867291openalex-snapshot
The recognition of Chinese caption text in news video using convolutional neural network
inferredcites →https://doi.org/10.1109/iros.2012.6385685openalex-snapshot
Multi-domain monitoring of marine environments using a heterogeneous robot team
inferredcites →https://doi.org/10.1109/iros19467.2012openalex-snapshot
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
inferredcites →https://doi.org/10.1109/joe.2015.2469915openalex-snapshot
Human-Visual-System-Inspired Underwater Image Quality Measures
inferredcites →https://doi.org/10.1109/oceans.2002.1192107openalex-snapshot
On the way to solve lighting problems in underwater imaging
inferredcites →https://doi.org/10.1109/oceans.2016.7761342openalex-snapshot
Estimation of ambient light and transmission map with common convolutional architecture
inferredcites →https://doi.org/10.1109/tip.2007.901808openalex-snapshot
Edge-Based Color Constancy
inferredcites →https://doi.org/10.1109/tip.2011.2179666openalex-snapshot
Underwater Image Enhancement by Wavelength Compensation and Dehazing
inferredcites →https://doi.org/10.1109/tip.2015.2446191openalex-snapshot
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
inferredcites →https://doi.org/10.1109/tip.2016.2598681openalex-snapshot
DehazeNet: An End-to-End System for Single Image Haze Removal
inferredcites →https://doi.org/10.1109/tmm.2017.2760100openalex-snapshot
Multisensor Image Fusion and Enhancement in Spectral Total Variation Domain
inferredcites →https://doi.org/10.1109/tpami.2010.168openalex-snapshot
Single Image Haze Removal Using Dark Channel Prior
inferredcites →https://doi.org/10.1117/1.jei.24.3.033023openalex-snapshot
Underwater image enhancement by dehazing and color correction
inferredcites →https://doi.org/10.1117/12.524540openalex-snapshot
Underwater color constancy: enhancement of automatic live fish recognition
inferredcites →https://doi.org/10.1117/12.805474openalex-snapshot
Fast implementation of color constancy algorithms
inferredcites →https://doi.org/10.1121/1.5000165openalex-snapshot
Source localization in an ocean waveguide using supervised machine learning
inferredcites →https://doi.org/10.1155/2010/746052openalex-snapshot
Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods
inferredcites →https://doi.org/10.1155/2017/8351232openalex-snapshot
Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network
inferredcites →https://doi.org/10.1504/ijcse.2016.076950openalex-snapshot
3D underwater scene reconstruction through descattering and colour correction
inferredcites →https://doi.org/10.1587/transinf.2014edp7405openalex-snapshot
Turbidity Underwater Image Restoration Using Spectral Properties and Light Compensation
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN(Generative Adversarial Nets)
inferredcites →https://doi.org/10.48550/arxiv.1511.08861openalex-snapshot
Loss Functions for Neural Networks for Image Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Underwater Image Enhancement Via Multicolor Space-Guided Curve Estimation
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DeepUIR-Net: Underwater Image Restoration Using Residual-UNet with Optimized Efficient Channel Attention Network Integration
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CycleGAN-UIE: An Underwater Image Restoration Algorithm Based on Super-Resolution Reconstruction
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UDUIE: Unpaired Domain-Irrelevant Underwater Image Enhancement
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Advancement in Deep Learning Methods and Performance Metrics for Underwater Image Enhancement
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Underwater Image Denoising and Semantic Segmentation
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GD-LiteNet: underwater image enhancement using lightweight CNN with grouped depthwise convolution and dynamic attention
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Underwater video consistent enhancement: a real-world dataset and solution with progressive quality learning
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Underwater enhancement computing of ocean HABs based on cyclic color compensation and multi-scale fusion
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RGB Attention-Aware Enhancement for Underwater Image Enhancement
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Enhanced Underwater Image Restoration: Optimizing Computational Efficiency with U-Net++ and CNN Architectures
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An Imaging Information Estimation Network for Underwater Image Color Restoration
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CEWformer: A Transformer-Based Collaborative Network for Simultaneous Underwater Image Enhancement and Watermarking
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Unsupervised Multiple Representation Disentanglement Framework for Improved Underwater Visual Perception
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UIE-DDPM: Underwater Image Enhancement Based on the Integration of Physical Model and Conditional Denoising Diffusion Probabilistic Model
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Polarization Imaging Descattering Based on Dark Channel Prior Background Light Estimation
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An Improved CycleGAN-Based Model for Low-Light Image Enhancement
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PID 2 Net: A Neural Network for Joint Underwater Polarimetric Images Descattering and Denoising
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MLFcGAN: Multilevel Feature Fusion-Based Conditional GAN for Underwater Image Color Correction
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Single Haze Image Restoration Under Non-Uniform Dense Scattering Media
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Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning
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Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning
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Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior
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TCTL-Net: Template-Free Color Transfer Learning for Self-Attention Driven Underwater Image Enhancement
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Multiscale Underwater Image Enhancement in RGB and HSV Color Spaces
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INGC-GAN: An Implicit Neural-Guided Cycle Generative Approach for Perceptual-Friendly Underwater Image Enhancement
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AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis
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Deep learning for visual recognition and detection of aquatic animals: A review
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Single underwater image restoration based on adaptive color correction and adaptive transmission fusion
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Unsupervised medical image generation for dental imaging: super-resolution of synthetic panoramic x-ray images with CycleGAN
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Fourth-Order Partial Differential Equation Framelet Fusion-Based Colour Correction and Contrast Enhancement for Underwater Images
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A Novel Image Recovery from Moving Water Surface Using Multi-Objective Bispectrum Method
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Wavelet Total Variation Fusion and Fuzzy Logic Decision-Based Haze Density and Sky Region-Aware De-Hazing
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Real-time Image Enhancement for Vision-based Autonomous Underwater Vehicle Navigation in Murky Waters
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An image enhancement algorithm for turbid underwater image based on multiple methods
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Underwater Image Enhancement Using Dual Adversarial Network
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Underwater Image Enhancement Based on Multi-Scale Spatial and Channel Attention Fusion
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A Survey on Underwater Computer Vision
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Toward Efficient Underwater Visual Perception through Image Enhancement, Compression, and Understanding
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Computational Simulation and Modeling of Freak Waves Based on Longuet-Higgins Model and Its Electromagnetic Scattering Calculation
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[Retracted] Marine Underwater Landscape Image Design Based on Bright Color Compensation and GAN Model Generation
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A self-adaptive single underwater image restoration algorithm for improving graphic quality
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Underwater image restoration via depth map and illumination estimation based on a single image
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Recovery for underwater image degradation with multi-stage progressive enhancement
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Fusion-based underwater image enhancement with category-specific color correction and dehazing
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Unsupervised underwater imaging based on polarization and binocular depth estimation
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Underwater low-light enhancement network based on bright channel prior and attention mechanism
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Underwater Image Restoration with a Complementary Haar Wavelet Transform Restoration and an Ensemble of Triple Elite Correction Algorithms using Bootstrap Aggregation and Random Forests
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Underwater Image Restoration Based on Wavelet Fusion and Reweighted Graph Total Variation Prior
inferred← citeshttps://doi.org/10.2139/ssrn.6067197openalex-snapshot
Underwater Image Enhancement based on Entropy-weighting Weighted Guided Filtering
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Underwater Image Enhancement based on Entropy-weighting Weighted Guided Filtering
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MLFFNet: Multi-level Feature Fusion Net for Underwater Image Enhancement
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A Survey on Underwater Image Processing Techniques
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Research on the Method of Artistic Image Restoration Based on Artificial Intelligence
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Visual Enhancement of Underwater Images Using Transmission Estimation and Multi-Scale Fusion
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Lighting the darkness in the sea: A deep learning model for underwater image enhancement
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Multimodal fusion image enhancement technique and CFEC-YOLOv7 for underwater target detection algorithm research
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Robust Chromatic Adaptation Based Color Correction Technology for Underwater Images
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A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network
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Automated Classical Cipher Emulation Attacks via Unified Unsupervised Generative Adversarial Networks
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A Graph-Aware Color Correction and Texture Restoration Framework for Underwater Image Enhancement
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An End-to-End Underwater-Image-Enhancement Framework Based on Fractional Integral Retinex and Unsupervised Autoencoder
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Adaptive Multi-Scale Entropy Fusion De-Hazing Based on Fractional Order
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An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning
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UMGAN: Underwater Image Enhancement Network for Unpaired Image-to-Image Translation
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Enhancing Underwater Images through Multi-Frequency Detail Optimization and Adaptive Color Correction
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Adaptive Weighted Multi-Discriminator CycleGAN for Underwater Image Enhancement
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Underwater Image Enhancement and Mosaicking System Based on A-KAZE Feature Matching
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Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization
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Fusion Objective Function on Progressive Super-Resolution Network
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Guidelines for Underwater Image Enhancement Based on Benchmarking of Different Methods
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Self-Adaptive Colour Calibration of Deep Underwater Images Using FNN and SfM-MVS-Generated Depth Maps
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Underwater Optical Imaging: Methods, Applications and Perspectives
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Development of Tactile Imaging for Underwater Structural Damage Detection
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Underwater Object Detection and Reconstruction Based on Active Single-Pixel Imaging and Super-Resolution Convolutional Neural Network
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An Extensive Literature Review on Underwater Image Colour Correction
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The Color Improvement of Underwater Images Based on Light Source and Detector
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A New Method for Training CycleGAN to Enhance Images of Cold Seeps in the Qiongdongnan Sea
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An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network
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Impact of Machine Learning Algorithms in Under Water Image Enhancement and Object Detection
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Analysis of Probabilistic multi-scale fractional order fusion-based de-hazing algorithm
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Underwater image filtering: methods, datasets and evaluation
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A Survey of Fish Tracking Techniques Based on Computer Vision
inferred← citeshttps://doi.org/10.48550/arxiv.2111.15479openalex-snapshot
Analysis of Multiscale Wavelet-based Fractional Gradient-Anisotropic Diffusion Fusion for single hazy and underwater image enhancement
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Self-adaptive colour calibration pipeline for deep underwater image restoration: a reference-based evaluation
inferred← citeshttps://doi.org/10.5281/zenodo.191832openalex-snapshot
FIGURE 6. Metopa dawsoni J.L. Barnard, 1962 in A redescription of Metopa species (Amphipoda, Stenothoidae) based on the type material. 2. The United States National Museum of Natural History (NMNH)
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