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A machine-learning based approach to underwater image denoising, built for AIM Spring 2024.
Pytorch implement: Residual Dense Network for Image Super-Resolution
The deep residual shrinkage network is a variant of deep residual networks.
Single Image Haze Removal Using Dark Channel Prior
NeurIPS 2021 paper: Learning to Dehaze with Polarization
In this study, we propose a deep-learning-based method to image through dynamic scattering media in a non-invasive manner under incoherence illumination and obtain superior restoration result.
Polarization image analysis tool. Demosaicing, Stokes vector, Mueller matrix.
MATLAB code of Mueller matrix dual-rotating retarder polarimeter
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Source code for "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images"
Keras implementations of Generative Adversarial Networks.
Image Denoising with Generative Adversarial Network
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Implementation of Chongyi Li et.al algorithm for underwater image restoration.
Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration M…
Color restoration of underwater images with UGAN, implemented with PyTorch.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020
Pointers to large-scale underwater datasets and relevant resources.
Underwater Image Restoration
Modern replication of WaterNet from "An Underwater Image Enhancement Benchmark Dataset and Beyond", IEEE TIP 2019
Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
Polarization-Based Haze Removal Using Self-Supervised Network