Multiple depth layers and all-in-focus image generations by blurring and deblurring operations

被引:6
|
作者
Tung, Shih-Shuo [1 ]
Hwang, Wen-Liang [1 ]
机构
[1] Acad Sinica, Inst Informat Sci, 128 Acad Rd,Sect 2, Taipei 11529, Taiwan
关键词
Image depth estimation; All-in-focus image; Depth from defocus; SINGLE; ALGORITHM;
D O I
10.1016/j.patcog.2017.03.035
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work, we propose novel methods for the generation of multiple depth layers and all-in-focus images. Multiple depth layers are produced by applying a sequence of blurring and deblurring operations to determine the depth. The proposed method makes no assumptions with regard to the properties of the scene in resolving depth ambiguity in complex images. We also developed a method by which to generate all-in-focus images, in which the sharpness is preserved and instabilities imposed by conventional deblurring operations largely eliminated. This method involves updating outliers, for which depth was over-estimated, while compensating for errors in the estimation of depth imposed by deblurring. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:184 / 198
页数:15
相关论文
共 50 条
  • [31] Depth and all-in-focus imaging by a multi-line-scan light-field camera
    Stolc, Svorad
    Soukup, Daniel
    Hollaender, Branislav
    Huber-Moerk, Reinhold
    JOURNAL OF ELECTRONIC IMAGING, 2014, 23 (05)
  • [32] Depth and All-in-Focus Images Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusion
    Sotoca, Jose Martinez
    Latorre-Carmona, Pedro
    Pla, Filiberto
    Javidi, Bahram
    IEEE ACCESS, 2019, 7 : 1052 - 1067
  • [33] Light Field All-in-focus Image Fusion Based on Edge Enhanced Guided Filtering
    Wu Yingchun
    Wang Yumei
    Wang Anhong
    Zhao Xianling
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2020, 42 (09) : 2293 - 2301
  • [34] All-in-Focus Image Generation from Microscope Focal Stack Images by Deep Learning
    Ueda, Shtori
    Fujii, Ryo
    Saito, Hideo
    Sugano, Junichi
    Adachi, Hideyuki
    Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, 2023, 89 (03): : 265 - 274
  • [35] Light field all-in-focus image fusion based on wavelet domain sharpness evaluation
    Xie Y.
    Wu Y.
    Wang Y.
    Zhao X.
    Wang A.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2019, 45 (09): : 1848 - 1854
  • [36] SIMULTANEOUS ESTIMATION OF SUPER-RESOLVED DEPTH AND ALL-IN-FOCUS IMAGES FROM A PLENOPTIC CAMERA.
    Perez Nava, F.
    Luke, J. P.
    2009 3DTV-CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO, 2009, : 241 - 244
  • [37] Low complexity depth map extraction and all-in-focus rendering for close-to-the-pixel embedded platforms
    Emberger, Simon
    Alacoque, Laurent
    Dupret, Antoine
    de la Tocnaye, Jean Louis de Bougrenet
    11TH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC 2017), 2017, : 29 - 34
  • [38] Depth and all-in-focus images obtained by multi-line-scan light-field approach
    Stolc, Svorad
    Huber-Moerk, Reinhold
    Hollaender, Branislav
    Soukup, Daniel
    IMAGE PROCESSING: MACHINE VISION APPLICATIONS VII, 2014, 9024
  • [39] AIFNet: All-in-Focus Image Restoration Network Using a Light Field-Based Dataset
    Ruan, Lingyan
    Chen, Bin
    Li, Jizhou
    Lam, Miu-Ling
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2021, 7 : 675 - 688
  • [40] Light field all-in-focus image fusion based on spatially-guided angular information
    Wu, Yingchun
    Wang, Yumei
    Liang, Jie
    Bajic, Ivan, V
    Wang, Anhong
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2020, 72