Deconvolution – a Rust image deconvolution and restoration crate
I've been working on deconvolution, a comprehensive Rust image deconvolution and restoration library. Deconvolution implements 28 different image deconvolution/restoration methods which range from practical blur removal techniques to research-grade scientific imaging algorithms. Features: - Top-level functions use image::DynamicImage and return images - Inverse filters, Wiener, Richardson-Lucy, constrained, proximal, Krylov, MLE restoration - Blind Richardson-Lucy, blind maximum likelihood, parametric PSF estimation - Kernel2D, Kernel3D, Transfer2D, Transfer3D, Blur2D/Blur3D -…
Deconvolution – a Rust image deconvolution and restoration crate launched on June 15, 2026 with 33 votes, #718 of 22,647 launches that month and more than 95% of that year's launches.
In plain words
Deconvolution is a Rust library providing 28 image deconvolution and restoration methods for removing blur and restoring image quality. It serves developers and researchers working with image processing, from practical blur removal to scientific imaging applications. The library includes inverse filters, Wiener filtering, Richardson-Lucy algorithms, blind deconvolution, PSF estimation, and support for 2D and 3D image data, with utilities for edge handling, noise generation, and format conversion.
written from the facts on this page · September 2026
From the sources
Rust image deconvolution and restoration library. Contribute to pbkx/deconvolution development by creating an account on GitHub.
In the maker’s words, at launch
I've been working on deconvolution, a comprehensive Rust image deconvolution and restoration library. Deconvolution implements 28 different image deconvolution/restoration methods which range from practical blur removal techniques to research-grade scientific imaging algorithms. Features: - Top-level functions…
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