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https://github.com/Y-Vladimir/SmartDeblur

Restoration of defocused and blurred photos/images
https://github.com/Y-Vladimir/SmartDeblur

Last synced: 2 months ago
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Restoration of defocused and blurred photos/images

Host: GitHub
URL: https://github.com/Y-Vladimir/SmartDeblur
Owner: Y-Vladimir
Created: 2012-06-26T19:12:57.000Z (almost 12 years ago)
Default Branch: master
Last Pushed: 2019-04-02T05:48:49.000Z (about 5 years ago)
Last Synced: 2024-01-07T13:04:37.399Z (5 months ago)
Language: C++
Homepage:
Size: 49.5 MB
Stars: 2,296
Watchers: 220
Forks: 373
Open Issues: 13
Metadata Files:
- Readme: README.md

Lists

awesome-ctf - SmartDeblur - Used to deblur and fix defocused images. (Steganography)
awesome-ctf-resources - SmartDeblur - Restoration of defocused and blurred photos/images. (Steganography)
awesome-ctf - SmartDeblur - Used to deblur and fix defocused images. (Steganography)
awesome-ctf - SmartDeblur - Used to deblur and fix defocused images. (Steganography)
awesome-CTF - SmartDeblur - Used to deblur and fix defocused images (Steganography)

README

        SmartDeblur 1.27

===========

SmartDeblur is a tool for restoring defocused and blurred images.


Written in C++ using Qt 4.8.


Algorithm based on several deconvolution techniques (Wiener, Tikhonov, Total Variation prior). Supported defect types are:



    Out of Focus blur (with kernel deep tuning)

    Motion blur

    Gaussian blur



SmartDeblur uses the FFTW library to provide its fast fourier tranformation implementation.


See fftw.org for details.

All source files are under the GPL v3 license.


Author: Vladimir Yuzhikov ([email protected])

Detailed description of algorithms and methods you can see at my articles:


Restoration of defocused and blurred images (part 1) - Theory


Restoration of defocused and blurred images (part 2) - Practice


Sceenshots

==========

Main Window:

![Main Window](https://habrastorage.org/storage2/fb7/6ce/ee9/fb76ceee92de9cf664991fed9a54b0bc.png)

Features

========



    High speed. Processing a 2048*1500 pixel image takes about 300ms in the Preview mode (when

        adjustment sliders can move). But high-quality processing may take a few minutes

    

    Real-time parameters changes applying (without any preview button)

    Full resolution processing (without small preview window)

    Deep tuning of kernel parameters

    Easy and friendly user interface

    Help screen with image example

    Deconvolution methods: Wiener, Tikhonov, Total Variation prior



Download

========

Version 1.27: 


[SmartDeblur-1.27-win.zip](https://github.com/downloads/Y-Vladimir/SmartDeblur/SmartDeblur-1.27-win.zip)


[SmartDeblur-1.27-mac.dmg](https://github.com/downloads/gibbonweb/SmartDeblur/SmartDeblur-1.27-mac.dmg)

License

========

SmartDeblur is provided under the GPL v3 license