A pyramid model for blind deconvolution based on simulated annealing

被引：0

作者：

Chen, YW ^{[1
]}

Enokura, T ^{[1
]}

Mendoza, N ^{[1
]}

Nakao, Z ^{[1
]}

机构：

[1] Univ Ryukyus, Fac Engn, Nishihara, Okinawa 9030213, Japan

来源：

IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4: 21ST CENTURY TECHNOLOGIES AND INDUSTRIAL OPPORTUNITIES | 2000年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A pyramid model is proposed for blind deconvolution problem of image restoration based on simulated annealing (or other heuristic method). The proposed approach is like a pyramid. We start the restoration from a low resolution level. As the image with the low resolution is restored, the restored image (low resolution) is expanded to all image with higher resolution, which is used as oil initial estimate of the high-resolution level. The restoration process is repeated to the highest resolution level. Since we can start with an initial estimate, which will be near the optimum solutions for each resolution level even for the highest resolution level, we can easily find the optimum solutions (restorations) with high resolution. Computer simulations have demonstrated the applicability of the proposed method.

引用

下载

页码：2843 / 2848

页数：6

共 50 条

[21] A blind deconvolution method for attenuative materials based on asymmetrical Gaussian model
Jin, Haoran
Chen, Jian
Yang, Keji
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2016, 140 (02): : 1184 - 1191
[22] SIMULATED ANNEALING AS A METHOD OF DECONVOLUTION FOR ACOUSTIC TRANSIENTS MEASURED ON A VERTICAL ARRAY
SMITH, JF
FINETTE, S
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1993, 94 (04): : 2315 - 2325
[23] Parametric blind deconvolution based on 3-D Gaussian model
College of Electronic Information, Sichuan University, Chengdu 610064, China
Guangdianzi Jiguang, 2006, 4 (493-497):
[24] Simulated Annealing model of acupuncture
Shang, Charles
Szu, Harold
INDEPENDENT COMPONENT ANALYSES, COMPRESSIVE SAMPLING, LARGE DATA ANALYSES (LDA), NEURAL NETWORKS, BIOSYSTEMS, AND NANOENGINEERING XIII, 2015, 9496
[25] An improved simulated annealing algorithm for blind image restoration
School of Communication and Information Engineering, Univ. of Electron. Sci. and Tech. of China, Chengdu 610054, China
Dianzi Keji Diaxue Xuebao, 2006, 5 (767-769+787):
[26] A Novel Model Order Reduction Technique Based on Simulated Annealing
Mohamed, Mohamed Khalifa
Mohamed, Khaled
2016 28TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM 2016), 2016, : 241 - 244
[27] HFCSA - A sustainable simulated annealing algorithm based on HFC model
Qingsheng Xie
Lizhang Xu
Shaobo Li
2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 3111 - 3116
[28] Blind deconvolution based on iterative algorithms
Takahashi, T.
Takajo, H.
Maki, H.
Guangdianzi Jiguang/Journal of Optoelectronics Laser, 9 : 196 - 198
[29] Intelligent Decision Model Based on Optimized Simulated Annealing Algorithm
Xia, Hui
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON SENSORS, MECHATRONICS AND AUTOMATION (ICSMA 2016), 2016, 136 : 776 - 779
[30] Application of a simulated annealing optimization to a physically based erosion model
Santos, C. A. G.
Freire, P. K. M. M.
Arruda, P. M.
WATER SCIENCE AND TECHNOLOGY, 2012, 66 (10) : 2099 - 2108

← 1 2 3 4 5 →