Absrr-A rmn-parametric image blur measure is presented. The nieasure is based on edgc 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 de-iation describes B e wldth 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 uatural scenes indicate that the proposed technique a n effectively describe the blurriness of images in image processing applications
I. hTRODUCTIONA measure of the sharpness or blurriness of edges .in an image can be useful €or a number of applications' in image processing, such as checking the focwof a camera fens, helping to identify shadows (whose edges are often less sharp than object edges), the sepaiation of variations i n illuniination fiOm the rdectance of the .objects in an image (known as intrinsic image extraction), and in-focus areas (or foreground) vs. out-of-focus (or background) keas in an +age.
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