文章基本信息

标题：Enhanced Fuzzy Adapted Distance Based Non-Linear Interpolation Technique for Zooming Grayscale Images
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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.