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  • 标题:Enhanced Fuzzy Adapted Distance Based Non-Linear Interpolation Technique for Zooming Grayscale Images
  • 本地全文:下载
  • 作者:Sanyam Anand ; Shveta Chadda
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:566-571
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Today, digital image processing is one of the swiftly emergent technologies. Zooming operation plays an important role in digital image processing. This paper introduces a non-linear fuzzy adapted distance technique for zooming Grayscale images which is more efficient than existing fuzzy linear interpolation techniques. The concept of non-linearity implemented with the help of construction of new FRBS (fuzzy rule base system) which consists of four inputs, one output and 256 rules. Thus the resulted image produces more clarity, smoother and less noisy images by taking into consideration more number of pixels than the linear techniques.
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