Abstract
We measure the sharpness of natural (complex) images using Gaussian models. We first locate lines and edges in the image. We apply Gaussian derivatives at different scales to the lines and edges. This yields a response function, to which we can fit the response function of model lines and edges. We can thus estimate the width and amplitude of the line or edge. As measure of the sharpness we propose the 5th percentile of the sigmas or the fraction of line/edge pixels with a sigma smaller than 1.
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Dijk, J., van Ginkel, M., van Asselt, R.J., van Vliet, L.J., Verbeek, P.W. (2003). A New Sharpness Measure Based on Gaussian Lines and Edges. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_19
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DOI: https://doi.org/10.1007/978-3-540-45179-2_19
Publisher Name: Springer, Berlin, Heidelberg
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