Fast and easy blind deblurring using an inverse filter and PROBE
This addresses the problem of removing blur from images without prior knowledge of the blur kernel, offering a simpler and faster solution for computer vision applications, though it builds on existing progressive deblurring ideas.
The paper tackles blind image deblurring by introducing PROBE, a recursive feedback framework that uses a modified inverse filter, achieving state-of-the-art performance in speed and quality with concrete quantitative improvements.
PROBE (Progressive Removal of Blur Residual) is a recursive framework for blind deblurring. Using the elementary modified inverse filter at its core, PROBE's experimental performance meets or exceeds the state of the art, both visually and quantitatively. Remarkably, PROBE lends itself to analysis that reveals its convergence properties. PROBE is motivated by recent ideas on progressive blind deblurring, but breaks away from previous research by its simplicity, speed, performance and potential for analysis. PROBE is neither a functional minimization approach, nor an open-loop sequential method (blur kernel estimation followed by non-blind deblurring). PROBE is a feedback scheme, deriving its unique strength from the closed-loop architecture rather than from the accuracy of its algorithmic components.