This software is a collection of algorithms for noise estimation, denoising, and deblurring developed by the Signal and Image Restoration group of the Tampere.
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Updated
May 3, 2023 - MATLAB
This software is a collection of algorithms for noise estimation, denoising, and deblurring developed by the Signal and Image Restoration group of the Tampere.
Implementation of defiltering techniques for blurry and noisy images
Implementation of Tracking by Deblatting
This is an improved version of the deblurring of faces. It shows about 5% increase in SSIM metric in comparison with the original methods. Tweaked the existing dehazing algorithms to work for deblurring.
Image processing filters and applications
Codes I wrote for my B.Tech Project
A compilation of some basic and complicated Denoising & Deblurring algorithms that works on images with unknown noise and blur
A collection of assignments and a project completed for the course 'Introduction to Image Processing'
Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight
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