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

 Tikhonov regularization

Kernel Estimation  Hysteresis thresholding in scale space define: 定義兩個 thresholds, T high and T low M high and M low by setting T high and T low

Residual Deconvolution  Using standard RL algorithms

De-ringing with Gain-controlled RL I Gain ≦ 1

Adding details  Joint Bilateral filter W(x):neighboring window Z x :normalization term Z x=

Result (a)blurred image (b)noisy image (c)denoised image (d)RL deconvolution (e)our result