[ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Sharp Image Deblurring

Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.

[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

Smoothie is python is abandonned, please see couleur-tweak-tips/smoothie-rs

Python2 (OpenCV, NumPy) application to refocus blurred images using Wiener deconvolution.

Generate blur image with 3 types of blur `motion`, `lens`, and `gaussian` by using OpenCV.

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

Official Code for "Structured Kernel Estimation for Photon-Limited Deconvolution" (CVPR 2023)

Blind deconvolution of motion blur

[WACV 2024] BALF: Simple and Efficient Blur Aware Local Feature Detector

[CVPR 2022] Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos

[CVPR 2021] FMO Deblurring Benchmark

Modified blurring routines from pyblur

Pytorch Code for "Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel Estimation" (Transactions on Computational Imaging)

A simple toolbox which does Red-Eye Reduction and Segmentation based Selective Blurring of Images. Has a simple Tkinter based GUI, which accepts images and performs the selected functions.

FlexiBlur is a Python GUI application that lets users apply various blur effects to images and videos. It supports simple and advanced blur techniques, including custom settings for motion and radial blurs. Designed for systems with OpenCV, FlexiBlur provides a user-friendly interface for easy and efficient media processing.