A desktop application for restoring defocused and blurred images using advanced deconvolution algorithms.
SmartDeblur is a desktop application that restores defocused and blurred images using advanced deconvolution algorithms like Wiener, Tikhonov, and Total Variation prior. It solves the problem of recovering details from images degraded by out-of-focus, motion, or Gaussian blur, making it a practical tool for image enhancement.
Photographers, researchers, and hobbyists who need to recover details from blurred images, as well as developers interested in image processing algorithms.
Developers choose SmartDeblur for its combination of high-speed processing, real-time parameter adjustments, and support for multiple deconvolution methods, all wrapped in a user-friendly interface that doesn't compromise on technical depth.
Restoration of defocused and blurred photos/images
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Processes 2048x1500 pixel images in about 300ms, enabling rapid adjustments before committing to high-quality renders, as noted in the README.
Changes to sliders apply immediately without a preview button, allowing for interactive tuning and faster iteration, a key feature highlighted in the description.
Supports Wiener, Tikhonov, and Total Variation prior methods, offering flexibility to tackle different blur types like out-of-focus, motion, and Gaussian blur.
Works directly on the full image without small preview windows, preserving detail and avoiding quality loss during restoration.
High-quality processing can take a few minutes, as admitted in the README, making it impractical for batch operations or time-sensitive tasks.
Built on Qt 4.8, an older framework that may cause compatibility issues on modern systems and lacks recent updates or security patches.
No command-line interface or API is mentioned, restricting automation and integration into larger, scripted workflows for developers.