이미지 개선 딥러닝 모델 선택 적용 시스템 (NAFNet, HAT, MAXIM)
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Updated
Nov 15, 2023 - Python
이미지 개선 딥러닝 모델 선택 적용 시스템 (NAFNet, HAT, MAXIM)
Distillation of Efficient Dehazing Networks via Soft Knowledge
the repository describes an attempt to make an image dehazer using autoencoders
Non-Local Image Dehazing using haze-lines
Tugas Makalah IF4073 Interpretasi dan Pengolahan Citra
🌫️ Haze Removal with Dark Prior Channel 🌫️ "We’re tackling hazy images using the Dark Prior Channel method, which clears haze, dust, and fog by analyzing pixel intensity. 🚀 While we’ve seen promising results, limited resources impact our full dehazing capability. 🖼️✨ Our work enhances image clarity and contributes to haze removal techniques."
Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
Dehazing is a process of removal of haze from the photography of a hazy scene. The method adopted here is using Contextual Regularization.
This is the MATLAB implementation of the haziness degree evaluator for predicting the haze density from a single image. The relevant work was published in the MDPI Sensors journal under the title "Haziness degree evaluator: a knowledge-driven approach for haze density estimation".
Haze degrades image quality and limits visibility especially in outdoor settings. This consequently affects performance on other high-level tasks such as object detection and recognition. The AOD network proposed by Boyi Li et. al. is an end-to-end CNN to de-haze an image. AOD takes as input a hazy image and generates a de-hazed image. Here i ha…
Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze
Dehazing using dark channel prior
This is the code for the work "Single image dehazing using improved cycleGAN" published in the Journal of Visual Communication and Image Representation.
Implementation of IEEE paper on Image dehazing using multiple scale fusion.
An efficiency and lightweight single-image dehazing network. CVPRw2020
Restoration of images degraded by haze using genetic programming
This is the implementation of the dehazing algorithm proposed in IBA-ICICT conference 2019
Enhanced CycleGAN Dehazing Network
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