Scaled plug-and-play iterations with nonsymmetric kernel denoisers provably converge linearly, with explicit contraction-factor bounds for inpainting, deblurring, and superresolution.
The little engine that could: Regularization by denoising (RED),
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Linear Convergence of Plug-and-Play Algorithms with Kernel Denoisers
Scaled plug-and-play iterations with nonsymmetric kernel denoisers provably converge linearly, with explicit contraction-factor bounds for inpainting, deblurring, and superresolution.