Estimation of Circularly Symmetric Point Spread Function for Digital Auto-Focusing

被引：0

作者：

Park, Younguk ^{[1
]}

Lee, Jinhee ^{[1
]}

Jeon, Jaehwan ^{[1
]}

Paik, Joonki ^{[1
]}

机构：

[1] Chung Ang Univ, Image Proc & Intelligent Syst Lab, Dept Image Engn, Grad Sch Adv Imaging Sci Multimedia & Film, Seoul 156756, South Korea

来源：

IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VIII | 2010年 / 7532卷

关键词：

Digital Auto-Focusing; Point-Spread-Function estimation; Blur identification; Image restoration; PSF; blind de-convolution; Blind image restoration; BLUR ESTIMATION; RESTORATION; DECONVOLUTION; SYSTEM;

D O I：

10.1117/12.838780

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a circularly symmetric point spread function (PSF) estimation technique for a fully digital auto-focusing system. The proposed algorithm provides realistic, unsupervised PSF estimation by establishing the relationship between the one-dimensional ideal step response and the corresponding two-dimensional circularly symmetric PSF. Main advantage of the proposed algorithm is the accurate estimation of the PSF combining by using interpolation, feasible step response estimation. The proposed estimation method will serve as (i) a fundamental procedure in designing an in-house extended depth-of-field (EDoF) system, (ii) a detecting method for improperly manufactured imaging sensors in the production line, and (iii) a PSF estimation method for general image restoration algorithms.

引用

页数：8

共 10 条

[1]

Andrews H. C., 1977, Digital Image Restoration

[2]

BAU I, 1997, NUMERICAL LINEAR ALG

[3] A COMPUTATIONAL APPROACH TO EDGE-DETECTION [J].