All-in-focus image reconstruction under severe defocus

被引：31

作者：

Alonso, Julia R. ^{[1
]}

Fernandez, Ariel ^{[1
]}

Ayubi, Gaston A. ^{[1
]}

Ferrari, Jose A. ^{[1
]}

机构：

[1] UdelaR, Fac Ingn, Inst Fis, Montevideo, Uruguay

来源：

OPTICS LETTERS | 2015年 / 40卷 / 08期

关键词：

FUSION; DEPTH;

D O I：

10.1364/OL.40.001671

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Limited depth-of-focus is a problem in many fields of optics, e.g., microscopy and macro-photography. We propose a new physically based method with a space variant point spread function (PSF) to accomplish all-in-focus reconstruction (image fusion) from a multi-focus image sequence in order to extend the depth-of-field. The proposed method works well under strong defocus conditions for color image stacks of arbitrary length. Experimental results are provided to demonstrate that our method outperforms state-of-the-art image fusion algorithms for strong defocus on both synthetic as well as real data images. (C) 2015 Optical Society of America

引用

页码：1671 / 1674

页数：4

共 20 条

[1]

Allen E., 2011, The manual of photography

[2] Depth from automatic defocusing [J].