GitHub topics: imagedenoise

Repositories

eliashomsi/Fast-Fourier-Transformation

This is assignment 2 of Ecse 316 for 2/29/2020 Winter of 2020

Language: Python - Size: 28.7 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

liliansteven/Auto-Encoders-Image-Denoising

RGB Image denoising using AutoEncoder, Principal Component Analysis (PCA), and Neural Network (NN) as input layers. The goal is to compare their performance and present comprehensive results.

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adugnag/deSpeckNet-TF-GEE

This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR image despeckling.

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MenaMassoud/FrameworkForKernelBasedBM3D

Patch-based approaches such as Block Matching and 3D collaborative Filtering (BM3D) algorithm represent the current state-of-the-art in image denoising. However, BM3D still suffers from degradation in performance in smooth areas as well as loss of image details, specifically in the presence of high noise levels. Integrating shape adaptive methods with BM3D improves the denoising outcome including the visual quality of the denoised image; and also maintains image details. In this study, we proposed a framework that produces multiple images using various shapes. These images were aggregated at the pixel or patch levels for both stages in BM3D, and when appropriately aggregated, resulted in better denoising performance than BM3D by 1.15 dB, on average.

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sun126/ADNet

ADNet Implementation using Tensorflow

Language: Python - Size: 25.4 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 5

icbcbicc/PyTorch_EPLL

PyTorch implementation of Expected Patch Log Likelihood (EPLL) image prior in paper "D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration," ICCV 2011.

Language: Python - Size: 12.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 0