@inproceedings{52b0b971520c431ca12c10e5b0c1d704,
title = "A non-parametric blur measure based on edge analysis for image processing applications",
abstract = "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.",
keywords = "Blur measure, Edge analysis, Image contrast calculation",
author = "Chung, {Yun Chung} and Wang, {Jung Ming} and Bailey, {Robert R.} and Chen, {Sei Wang} and Chang, {Shyang Lih}",
year = "2004",
language = "English",
isbn = "0780386442",
series = "2004 IEEE Conference on Cybernetics and Intelligent Systems",
pages = "356--360",
booktitle = "2004 IEEE Conference on Cybernetics and Intelligent Systems",
note = "2004 IEEE Conference on Cybernetics and Intelligent Systems ; Conference date: 01-12-2004 Through 03-12-2004",
}