Multi-Regularization-Constrained Blur Kernel Estimation Method for Blind Motion Deblurring

Multi-Regularization-Constrained Blur Kernel Estimation Method for Blind Motion Deblurring

Blur kernel (BK) estimation is the crucial technique to guarantee the success of blind image deblurring. In this paper, we propose a multi-regularization-constrained method to estimate an accurate BK from a single motion-blurred image. First, in order to generate sharp and reliable intermediate late...

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Bibliographic Details
Main Authors:	Shu Tang, Wanpeng Zheng, Xianzhong Xie, Tao He, Peng Yang, Lei Luo, Zhixing Li, Yu Hu, Hao Zhao
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Blind image deblurring blur kernel spatial scale <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">L</italic>₀-regularized intensity prior <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">L</italic>₂-regularized gradient prior
Online Access:	https://ieeexplore.ieee.org/document/8600319/

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