Motion Blur Reduction Through Frame Reconstruction

Unique: Combines optical flow estimation with motion-compensated deconvolution to reconstruct details from motion blur rather than applying generic sharpening, preserving temporal coherence across frames

vs others: More sophisticated than simple unsharp masking (which amplifies noise) and more effective than single-frame deconvolution, though less controllable than professional stabilization tools like Warp Stabilizer

via “frame-by-frame-blur-consistency”