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Y-Vladimir/SmartDeblur has 2,409 GitHub stars and 359 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-06 21:53 UTC. Last push 2019-04-02.

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Restoration of defocused and blurred photos/images

What you can do

  • 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

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README.md

Original

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

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
SmartDeblur-1.27-mac.dmg

License

SmartDeblur is provided under the GPL v3 license

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