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What is Parallel Blind Image Deblurring Algorithm about?

This document summarizes a research paper that proposes a neural network approach to image deblurring. It divides the blurred image into partitions and trains a neural network to estimate the point spread function (PSF) that caused the blurring. The network is trained using backpropagation to minimize the error between the actual degraded image and a simulated blurred version. Once trained, it can deblur each partition in parallel to efficiently deblur the full image. The key steps are: 1) partitioning the

Author

Simona Stolnicu

Language

EN