Kazuyuki Tajima, T. Shimano, Y. Nakamura, M. Sao, T. Hoshizawa
{"title":"Lensless light-field imaging with multi-phased fresnel zone aperture","authors":"Kazuyuki Tajima, T. Shimano, Y. Nakamura, M. Sao, T. Hoshizawa","doi":"10.1109/ICCPHOT.2017.7951485","DOIUrl":null,"url":null,"abstract":"We have been proposing lensless light-field imaging with Fresnel zone aperture (FZA) in front of an image sensor in a few millimeter spacing. Synthesized shadows of real FZA with the incident light generate moiré fringes interfering with another virtual FZA in a computer and result in reconstructed images by simple Fast Fourier Transformation (FFT). In order to obtain clear images in this configuration, it is necessary to cancel several kinds of noise component in the detected image signals. We describe details of the process and discuss its effectiveness theoretically and experimentally in this paper.","PeriodicalId":276755,"journal":{"name":"2017 IEEE International Conference on Computational Photography (ICCP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Computational Photography (ICCP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPHOT.2017.7951485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
We have been proposing lensless light-field imaging with Fresnel zone aperture (FZA) in front of an image sensor in a few millimeter spacing. Synthesized shadows of real FZA with the incident light generate moiré fringes interfering with another virtual FZA in a computer and result in reconstructed images by simple Fast Fourier Transformation (FFT). In order to obtain clear images in this configuration, it is necessary to cancel several kinds of noise component in the detected image signals. We describe details of the process and discuss its effectiveness theoretically and experimentally in this paper.