Multi-Scale Image Blind Deblurring Based on Salient Intensity and a priori Gradient

Chen Chen; Jinxin Xu; Caihua Wei; Qingwu Li

doi:10.3788/LOP57.041505

Laser & Optoelectronics Progress, Volume. 57, Issue 4, 041505(2020)

Multi-Scale Image Blind Deblurring Based on Salient Intensity and a priori Gradient

Chen Chen¹, Jinxin Xu¹, Caihua Wei², and Qingwu Li^1、*

Author Affiliations

¹College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China

²Institute of Fluid Physics, China Academy Of Engineering Physics, Mianyang, Sichuan 621900, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(6)

Fig. 1. Qualitative comparison of restoration results for simulated blurred images (σ=3%). (a) Blurred image; (b) algorithm in Ref. [7]; (c) algorithm in Ref. [8]; (d) algorithm in Ref. [9]; (e) algorithm in Ref. [10]; (f) algorithm in Ref. [11]; (g) our algorithm

Download full size

Fig. 2. Comparison of image blur kernel similarity under different algorithms

Download full size

Fig. 3. Qualitative comparison of restoration results for true images. (a) Blurred image; (b) algorithm in Ref. [7]; (c) algorithm in Ref. [8]; (d) algorithm in Ref. [9]; (e) algorithm in Ref. [10]; (f) algorithm in Ref. [11]; (g) our algorithm

Download full size

Table 1. Statistic results of PSNR and MSE of different algorithms

View table

Table 1. Statistic results of PSNR and MSE of different algorithms

Image	Algorithmin Ref. [7]		Algorithmin Ref. [8]		Algorithmin Ref. [9]		Algorithmin Ref. [10]		Algorithmin Ref. [11]		Our algorithm
Image	PSNR /dB	MSE /%	PSNR /dB	MSE /%	PSNR /dB	MSE /%	PSNR /dB	MSE /%	PSNR /dB	MSE /%	PSNR /dB	MSE /%
Carton	68.47	0.94	69.87	0.78	64.75	2.53	68.72	0.92	70.16	0.73	71.62	0.62
House	75.05	0.21	70.79	0.62	72.15	0.42	78.85	0.14	83.12	0.09	82.83	0.10
Roman	68.76	0.89	68.54	1.05	74.50	0.23	68.60	0.92	77.41	0.16	78.36	0.14
Buddha	74.42	0.25	71.59	0.67	73.38	0.33	74.34	0.26	75.13	0.23	76.85	0.21
Building	64.18	1.48	67.42	1.02	68.35	0.93	69.74	0.81	70.22	0.71	72.47	0.58

Table 2. Statistical results before and after using adaptive iteration

View table

Table 2. Statistical results before and after using adaptive iteration

Romanimage	Layer 7image	Layer 6image	Layer 5image	Layer 4image	Layer 3image	Layer 2image	Layer 1image	Totaltime
Image resolution	10×7	19×14	38×27	75×53	150×105	300×210	600×420
Kernel resolution	7×7	11×11	15×15	21×21	29×29	39×39	51×51
Normal iteration /s	18	36	90	221	429	864	1944	3602
Adaptive iteration /s	18	36	82	160	306	558	1026	2196

Table 3. Run time of 6 algorithms (Roman image)

View table

Table 3. Run time of 6 algorithms (Roman image)

Romanimage	Algorithmin Ref. [7]	Algorithmin Ref. [8]	Algorithmin Ref. [9]	Algorithmin Ref. [10]	Algorithmin Ref. [11]	Our algorithm(normalization)	Our algorithm(adaptiveiteration)
Time /h	0.10	0.12	0.43	0.92	0.95	1.00	0.61

Tools

Get Citation

Copy Citation Text

Chen Chen, Jinxin Xu, Caihua Wei, Qingwu Li. Multi-Scale Image Blind Deblurring Based on Salient Intensity and a priori Gradient[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041505

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Machine Vision

Received: May. 14, 2019

Accepted: Aug. 5, 2019

Published Online: Feb. 20, 2020

The Author Email: Qingwu Li (li_qingwu@163.com)

DOI:10.3788/LOP57.041505

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology