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  • 标题:Improving brightness using Dynamic Fuzzy Histogram Equalization
  • 本地全文:下载
  • 作者:Mahendra PS Kuber ; Manish Dixit ; Sanjay Silakari
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:2
  • 页码:303-312
  • DOI:10.14257/ijsip.2015.8.2.29
  • 出版社:SERSC
  • 摘要:This paper proposed brightness preserving dynamic fuzzy histogram equalization using triangular membership function which is the modified technique of histogram equalization. This modified technique, called Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), uses fuzzy statistics of digital images for their representation and processing in the fuzzy area which enables the technique to handle the approximation of gray level values in a better way for better presentation. This algorithm enhances image contrast as well as conserves the brightness very well. Some images are not available to excellent quality, so proposed Fuzzy algorithm can be used for image enhancement to improve the quality of the image
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