Document Type: Original/Review Paper


1 Faculty of Computer science, Higher Education Complex of Bam, Bam, Iran.

2 Faculty of Computer Engineering, Higher Education Complex of Bam, Bam, Iran.



Estimation of blurriness value in image is an important issue in image processing applications such as image deblurring. In this paper,
a no-reference blur metric with low computational cost is proposed, which is based on the difference between the second order
of a sharp image and the one associated with its blurred version. The experiments, in this paper, performed on four databases,
including CSIQ, TID2008, IVC, and LIVE. The experimental results indicate the capability of the proposed blur metric in measuring
image blurriness, also the low computational cost, comparing with other existing approaches.


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