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