Blind deconvolution of motion blur
Official Code for "Structured Kernel Estimation for Photon-Limited Deconvolution" (CVPR 2023)
This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitive impacts signal in noisy vibration.
Speeding up blind deconvolution of a blurred image by using GPUs
tipi4icy is a collection of Icy plugins based on TiPi
Official Code for "Kernel Diffusion: An Alternate Approach to Blind Deconvolution", Accepted at ECCV2024
Semi-blind deconvolution for fMRI (BOLD signal)
Implementation of the subgradient and prox-linear methods for robust blind deconvolution.
📚 Выпускная квалификационная работа бакалавра и соответствующая научно-исследовательская работа по специальности "Программная инженерия", МГТУ им. Н.Э. Баумана.
Deconvolving Deep Optical Encoders with Learned Samples (DeDOS)
Image deconvolution toolkit for known and blind PSF methods, with a bilingual GUI and Python API, supporting CPU/GPU acceleration.
BIRFI estimates the IRF via least squares and Tikhonov penalty from the fluorescence decay itself.
BIRFI estimates the IRF via least squares and smoothing penalty from the fluorescence decay itself.
Blind Image Deconvolution, Deblurring, Denoising, Noise Estimation, Super-Resolution
Joint recovery of an image and its point spread function using a physics-based model with natural image and kernel priors. Supports multiple PSF types, MAP optimization, and scalable experiment sweeps with logging.
Add a description, image, and links to the blind-deconvolution topic page so that developers can more easily learn about it.
To associate your repository with the blind-deconvolution topic, visit your repo's landing page and select "manage topics."