北京邮电大学学报

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北京邮电大学学报

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总有界变差与图像清晰度之间的关系

成孝刚;陈启美;刘国庆   

  1. 桂林电子科技大学研H5班
  • 收稿日期:2009-04-13 修回日期:1900-01-01 出版日期:2009-04-28 发布日期:2009-04-28
  • 通讯作者: 成孝刚
  • 基金资助:
     

The Relation Between Total Bounded Variation and Image Definition Detection

    

  1.  
  • Received:2009-04-13 Revised:1900-01-01 Online:2009-04-28 Published:2009-04-28
  • Supported by:
     

摘要: 针对目前几种数字图像清晰度评价方法的局限性,研究了图像的总有界变差,理论上证明了图像总有界变差与图像清晰度之间的关系. 在图像恢复过程中,使图像的总有界变差达到极值,可以使所恢复的图像更清晰. 通过计算机仿真,比较了清晰图像与模糊图像的总有界变差,并验证了有关结果.

关键词: 图像清晰度, 评价函数, 图像恢复, 总有界变差

Abstract: In order to compensate for some limitations of the existed clarity evaluation function(CEF) of the image definition, a total bounded variation (TBV) of image is studied. It is proved that there is some relationships between the TVB of image and the digital image definition. Furthermore, the clearer image from image restoration process can be acquired when the criterion based on TVB of the image is used. Finally, the computer simulation is provided for the validation of the relation obtained.

Key words: image definition, evalution funtion, image restoration, total bounded variation

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