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  • 标题:Fourier Transformation Integrated Filter for Restoration of Blurred Digital Images
  • 本地全文:下载
  • 作者:Roopali Sharma ; Anoopa Arya
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:7
  • DOI:10.15680/ijircce.2015.0307108
  • 出版社:S&S Publications
  • 摘要:Remote sensing is the science of obtaining information about the objects or areas from a distance mainlyfrom aircraft or satellites and its applications directly has importance in our day to day life. The main objectives ofremote sensing is monitoring, modeling, measuring, estimating and identifying various processes that took place inearth and atmosphere by using airborne sensors or satellites. In this research work motion blurred images are restoredusing Fourier transformation technique combined with digital filters. Image restoration is the process of restoringdegraded images which cannot be taken again or the process of obtaining the image again is costlier. Image restorationis done in two domains: spatial domain and frequency domain. In spatial domain the filtering action for restoring theimages is done by directly operating on the pixels of the digital image.
  • 关键词:Fourier transformation; Butterworth; PSNR; MSE; RMSE
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