arXiv:2201.10522
Blind Image Deblurring: a Review
원문 초록
This is a review on blind image deblurring. First, we formulate the blind image deblurring problem and explain why it is challenging. Next, we bring some psychological and cognitive studies on the way our human vision system deblurs. Then, relying on several previous reviews, we discuss the topic of metrics and datasets, which is non-trivial to blind deblurring. Finally, we introduce some typical optimization-based methods and learning-based methods.
함께 살펴볼 논문
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Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser Network
Blind Image Deblurring with FFT-ReLU Sparsity Prior
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
Estimation of motion blur kernel parameters using regression convolutional neural networks
Plug-and-Play Posterior Sampling for Blind Inverse Problems
Frequency-domain Learning with Kernel Prior for Blind Image Deblurring
토론
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