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文章基本信息

  • 标题:Performance Evaluation of Image Fusion for Impulse Noise Reduction in Digital Images Using an Image Quality Assessment
  • 本地全文:下载
  • 作者:M PremKumar ; J Harikiran ; B SaiChandana
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:Image fusion is the process of combining two or more images into a single image while retaining the important features of each image. Multiple image fusion is an important technique used in military, remote sensing and medical applications. In this paper, Image Fusion based on local area variance is used to combine the de-noised images from two different filtering algorithms, Vector Median Filter (VMF) and Spatial Median Filter (SMF). The performance of the Image Fusion is evaluated by using a new non-reference image quality assessment; Gradient based Image Quality Index (GIQI), to estimate how well the important information in the source images is represented by the fused image. Experimental results show that GIQI is better in non-reference image fusion performance assessment than universal image quality index (UIQI).
  • 关键词:Image Restoration; Image Fusion; Image Quality Assessment; Impulse Noise; Image Processing
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