Image Deblurring with Blurred/Noisy Image Pairs
Lu Yuan Jian Sun Long Quan Heung-Yeung Shum
The Hong Kong University of Science and Technology
Introduction
(Blurred)
(noisy)
Method
Kernel Estimation
Residual Deconvolution
De-ringing with Gain-controlled RL
Kernel Estimation
Kernel Estimation Tikhonov regularization
Kernel Estimation
Hysteresis thresholding in scale space define:
定義兩個 thresholds, Thigh and Tlow
Mhigh and Mlow by setting Thigh and Tlow
Residual Deconvolution Using standard RL algorithms
De-ringing with Gain-controlled RL
IGain≦1
Adding details
Joint Bilateral filter
W(x):neighboring windowZx:normalization termZx=
Result
(a)blurred image (b)noisy image (c)denoised image (d)RL deconvolution (e)our result
(a)blurred image (b)noisy image (c)denoised image (d)RL deconvolution (e)our result
(a)blurred image (b)noisy image (c)denoised image (d)RL deconvolution (e)our result