Title of article
A No-Reference Blur Metric based on Second-Order Gradients of Image
Author/Authors
Askari Javaran, T Faculty of Computer science - Higher Education Complex of Bam - Bam, Iran , Alidadi, A Faculty of Computer Engineering - Higher Education Complex of Bam - Bam, Iran , Arab, S. R Faculty of Computer Engineering - Higher Education Complex of Bam - Bam, Iran
Pages
8
From page
11
To page
18
Abstract
Estimation of the blurriness value in an image is an important issue in the image processing applications such as image deblurring. In this paper, a no-reference blur metric with a low computational cost is proposed, which is based on the difference between the second-order gradients of a sharp image and the one associated with its blurred version.
The experiments, in this work, are performed on four databases including CSIQ, TID2008, IVC, and LIVE. The experimental results obtained indicate the capability of the proposed blur metric in measuring image blurriness and also the low computational cost compared with the other existing approaches.
Keywords
No-reference Blur Metric , Blur Estimation , Second-order Gradients
Journal title
Journal of Artificial Intelligence and Data Mining
Serial Year
2021
Record number
2685713
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