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  • 标题:A Robust Image Restoration by Using Dark channel Removal Method
  • 本地全文:下载
  • 作者:Ankit Jain ; Prof. Mahima Jain
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2017
  • 卷号:6
  • 期号:3
  • 页码:208-213
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:This work focus on Fog removal which is also known as visibility restoration refers to different methods that aim to reduce or remove the degradation. The degradation may be due to various factors like relative , relative atmospheric turbulence , object-camera motion, miss-focus , blur due to camera and others. This paper has utilized the dark channel method for estimating the atmospheric light with change in environment. This help in removing the distortion present in the image. Experiment was done on real dataset as well as on artificial dataset images. It has been obtained that that proposed work has improve edge restoration value by 2.4 time, while contrast restoration value was increased by 4.51 time as compare to previous work is better as compare to previous work in [8].
  • 关键词:Digital Image Processing; Haze ; Information Extraction; Fog removal. Visibility restoration
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