SmartDeblur is a tool for restoring defocused and blurred images, written in C++ using Qt 4.8. It utilizes deconvolution techniques like Wiener, Tikhonov, and Total Variation prior, supporting defect types such as Out of Focus blur, Motion blur, and Gaussian blur. The tool uses the FFTW library for fast Fourier transformation implementation and is licensed under GPL v3. Developed by Vladimir Yuzhikov, it offers high-speed processing, real-time parameter changes, full-resolution processing, deep tuning of kernel parameters, and an easy-to-use interface.
Common questions about SmartDeblur 1.27 including features, pricing, alternatives, and user reviews.
SmartDeblur 1.27 is A tool for restoring defocused and blurred images with various deconvolution techniques and fast processing capabilities. It is a Security Operations solution designed to help security teams with Evidence Collection, Memory Forensics.
SmartDeblur 1.27 is a free Security Operations tool. This makes it accessible for organizations of all sizes, from startups to enterprises. Visit https://github.com/Y-Vladimir/SmartDeblur/ for download and installation instructions.
Popular alternatives to SmartDeblur 1.27 include:
Compare these tools and more at https://cybersectools.com/categories/security-operations
SmartDeblur 1.27 is for security teams and organizations that need Evidence Collection, Memory Forensics. It's particularly suitable for small to medium-sized teams looking for cost-effective solutions. Other Security Operations tools can be found at https://cybersectools.com/categories/security-operations
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