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  • 标题:Automatic Enhancement Of Digital Images Using Cubic Bézier Curve And Fourier Transformation
  • 本地全文:下载
  • 作者:Khurshid Asghar ; Ghulam Gilanie ; Mubbashar Saddique
  • 期刊名称:Malaysian Journal of Computer Science
  • 印刷版ISSN:0127-9084
  • 出版年度:2017
  • 卷号:30
  • 期号:4
  • 出版社:University of Malaya * Faculty of Computer Science and Information Technology
  • 摘要:Image enhancement is one of the most important and visually appealing areas of digital image processing and computer vision. It is considered as a very important part of preprocessing for the development of industrial, security, forensic, medical, and many other applications. Although significant efforts were devoted in the past, a completely automatic image enhancement for all types of input and applications is still a big challenge in the domain of image processing. In this paper, we have proposed a multidisciplinary approach to enhance the image automatically by intensity transformation in the spatial domain through cubic Bézier curve on images filtered with low and high pass Butterworth in the frequency domain. Results are promising when compared with the existing stateofthearts techniques for both visually and quantitatively, which proved that the proposed method can ensure better contrast enhancement.
  • 关键词:Image Enhancement; Cubic Bézier Curve; Fourier Transformation
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