A curated list of resources for Image and Video Deblurring
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Updated
Jun 29, 2025
A curated list of resources for Image and Video Deblurring
Learning Deep Gradient Descent Optimization for Image Deconvolution. Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
A curated list of research papers and datasets related to image and video deblurring.
Python CLI for batch image deblurring, image restoration, deconvolution, and classical computer vision. Includes Wiener, Richardson-Lucy, Tikhonov, TV-ADMM, and unsupervised Wiener methods; motion/Gaussian/box/custom PSFs; recursive OpenCV/scikit-image processing; color/grayscale support, edge padding, presets, and JSON reports.
Position-Dependent Richardson-Lucy deconvolution
Variance Stabilized Image Deconvolution Under Mixed Poisson-Gaussian Noise in Fluorescence Microscopy
Improved Poisson MAP Algorithm for Better Image Deconvolution
Image Deconvolution
A Proximal Approach to Image Deconvolution under Mixed Poisson-Gaussian Noise
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