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文章基本信息

  • 标题:Comparative Study of Image Fusion Techniques based on Spatial and Transform Domain
  • 本地全文:下载
  • 作者:Sweta K. Shah ; Prof. D.U. Shah
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 卷号:3
  • 期号:3
  • 页码:10168
  • 出版社:S&S Publications
  • 摘要:Image Fusion is the process in which two or more images are combined into single image which can retainall important features of all original image. Fused image will be more informative and complete than any of the inputimages. This paper presents two approaches to image fusion, namely Spatial Fusion and Transform Fusion . This paperdescribes Techniques such as Principal Component Analysis which is spatial domain technique and Discrete WaveletTransform , Stationary Wavelet Transform which are Transform domain techniques. Performance metrics withoutreference image are implemented to evaluate the performance of image fusion algorithm. Experimental results showsthat image fusion method based on Stationary Wavelet Transform is remarkably better than Principal ComponentAnalysis and Discrete Wavelet Transform.
  • 关键词:Image Fusion; Principal Component Analysis; Discrete Wavelet Transform; Stationary Wavelet Transform
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