A non-parametric blur measure based on edge analysis for image processing applications

Yun Chung Chung, Jung Ming Wang, Robert R. Bailey, Sei-Wang Chen, Shyang Lih Chang

研究成果: 書貢獻/報告類型會議貢獻

61 引文 斯高帕斯(Scopus)

摘要

A non-parametric image blur measure is presented. The measure is based on edge analysis and is suitable for various image processing applications. The proposed measure for any edge point is obtained by combining die standard deviation of the edge gradient magnitude profile and the value of the edge gradient magnitude using a weighted average. The standard deviation describes the width of the edge, and its edge gradient magnitude is also Included to make the blur measure more reliable. Moreover, the value of the weight is related to image contrast and can be calculated directly from the image. Experiments on natural scenes indicate that the proposed technique can effectively describe the blurriness of images in image processing applications.

原文英語
主出版物標題2004 IEEE Conference on Cybernetics and Intelligent Systems
頁面356-360
頁數5
出版狀態已發佈 - 2004 十二月 1
事件2004 IEEE Conference on Cybernetics and Intelligent Systems - , 新加坡
持續時間: 2004 十二月 12004 十二月 3

出版系列

名字2004 IEEE Conference on Cybernetics and Intelligent Systems

其他

其他2004 IEEE Conference on Cybernetics and Intelligent Systems
國家新加坡
期間04/12/104/12/3

    指紋

ASJC Scopus subject areas

  • Engineering(all)

引用此

Chung, Y. C., Wang, J. M., Bailey, R. R., Chen, S-W., & Chang, S. L. (2004). A non-parametric blur measure based on edge analysis for image processing applications. 於 2004 IEEE Conference on Cybernetics and Intelligent Systems (頁 356-360). (2004 IEEE Conference on Cybernetics and Intelligent Systems).