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  • 标题:A Review Paper on Low Light Image Enhancement Methods for Un-uniform Illumination
  • 本地全文:下载
  • 作者:Ashish Kumar Mishra ; Chandra Sekhar Panda
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:287-292
  • DOI:10.1016/j.ifacol.2022.09.402
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Image enhancement is the most fundamental steps used to manipulate an image so that the result is more acceptable than the original image, with a try for preserving every detail, in the field of digital image processing. With the high demand of computer visual technology, digital image processing concepts have been rapidly used in many real world applications for information gathering, such as: industrial productions, medical images, video monitoring, intelligent transportations, etc. However, image captured under low light has some issues such that it may contains noise, undergoes color distortion and also may undergoes with some information loss. Again industry like medical and satellite we can't afford single information to be miss, so for that purpose low light image enhancement is a must needed concept for current emerging world. Here in this paper, we analyze different methods of image enhancement and their result, mainly this paper focus on different fusion-based methods, other methods such as retinex based methods, fuzzification etc.
  • 关键词:Retinex Model;Fusion Based Method;Pre-Enhancement;Post-Enhancement;illumination
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