Depth estimation using spectrally varying defocus blur

被引:2
|
作者
Ishihara, Shin [1 ]
Sulc, Antonin [2 ]
Sato, Imari [1 ,3 ]
机构
[1] Tokyo Inst Technol, Meguro Ku, 2-12-1 Ookayama, Tokyo 1528550, Japan
[2] Univ Konstanz, Univ Str 10, D-78474 Constance, Germany
[3] Natl Inst Informat, Chiyoda Ku, 2-1-2 Hitotsubashi, Tokyo 1018430, Japan
基金
日本学术振兴会;
关键词
CHROMATIC ABERRATION; PASSIVE DEPTH; SHAPE;
D O I
10.1364/JOSAA.422059
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper proposes a method to estimate depth from a single multispectral image by using a lens property known as chromatic aberration. Chromatic aberration causes light passing through a lens to be refracted depending on the wavelength. The refraction causes the angle of rays to vary depending on their wavelength and a change in focal length, which leads to a defocus blur for different wavelengths. We propose a theory to recover a continuous depth map from the blur in a single multispectral image that includes chromatic aberration. The proposed method needs only a standard wide-aperture lens, which naturally exhibits chromatic aberration, and a multispectral camera. Moreover, we use a simple yet effective depth-of-field synthesis method to calculate the derivatives and obtain allin-focus images necessary to approximate spectral derivatives. We verified the effectiveness of the proposed method on various real-world scenes. (c) 2021 Optical Society of America
引用
收藏
页码:1140 / 1149
页数:10
相关论文
共 50 条
  • [21] No-reference objective image quality assessment using defocus blur estimation
    Lin, Huei-Yung
    Chang, Chin-Chen
    Chou, Xin-Han
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2017, 40 (04) : 341 - 346
  • [22] Defocus Blur Parameter Estimation Using Polynomial Expression and Signature Based Methods
    Gajjar, Ruchi
    Zaveri, Tanish
    2017 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2017, : 71 - 75
  • [23] Multi-Interactive Enhanced for Defocus Blur Estimation
    Li, Huaguang
    Qian, Wenhua
    Cao, Jinde
    Nie, Rencan
    Liu, Peng
    Xu, Dan
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2024, 10 : 640 - 652
  • [24] ADAPTIVE SCALE SELECTION FOR MULTIRESOLUTION DEFOCUS BLUR ESTIMATION
    Karaali, Ali
    Jung, Claudio Rosito
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 4597 - 4601
  • [25] Defocus Blur Detection and Estimation from Imaging Sensors
    Li, Jinyang
    Liu, Zhijing
    Yao, Yong
    SENSORS, 2018, 18 (04)
  • [26] Passive depth estimation using chromatic aberration and a depth from defocus approach
    Trouve, Pauline
    Champagnat, Frederic
    Le Besnerais, Guy
    Sabater, Jacques
    Avignon, Thierry
    Idier, Jerome
    APPLIED OPTICS, 2013, 52 (29) : 7152 - 7164
  • [27] Blind Deblurring for Dermoscopy Images with Spatially-Varying Defocus Blur
    Lu, Yanan
    Xie, Fengying
    Jiang, Zhiguo
    Meng, Rusong
    PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016), 2016, : 7 - 12
  • [28] Active depth estimation from defocus using a camera array
    Tao, Tianyang
    Chen, Qian
    Feng, Shijie
    Hu, Yan
    Zuo, Chao
    APPLIED OPTICS, 2018, 57 (18) : 4960 - 4967
  • [29] Learning scene and blur model for active chromatic depth from defocus
    Buat, Benjamin
    Trouve-Peloux, Pauline
    Champagnat, Frederic
    Le Besnerais, Guy
    APPLIED OPTICS, 2021, 60 (31) : 9966 - 9974
  • [30] Depth recovery from defocus based on relative blur and edge enhancement
    Zhang Q.-B.
    Zhang A.-M.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2010, 38 (04): : 136 - 140