An Edge Analysis Based Blur Measure for Image Processing Applications

Author: Yun-Chung Chung(Department of Information and Computer Education, National Taiwan Normal University),Shyang-Lih Chang(Department of Electronics Engineering, St. John’ s university),Jung-Ming Wang(Department of Information and Computer Education, National Taiwan Normal University),Sei-Wang Chen(Graduate Institute of Computer Science and Information Engineering, National Taiwan Normal University)

Vol.&No.：Vol. 51, No. 1
Date：April 2006
Pages：21-31
DOI：10.6301/JNTNU.2006.51(1).02

Abstract：

In this project an edge-analysis-based non-parametric-image blur measure was proposed and evaluated. This 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 the 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 in the natural scenes indicate that the proposed technique can effectively describe the blurriness of images in image-processing applications.

Keywords：blur measure, edge analysis, image contrast calculation

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