Advances in Imaging and Electron Physics, Vol. 92 - download pdf or read online

By Peter W. Hawkes (Ed.)

ISBN-10: 0120147343

ISBN-13: 9780120147342

This quantity contains chapters discussing picture enhancement and propagation, and box behaviour in hugely anisotropic media. it's meant for researchers in optical technological know-how, electric engineering, photograph processing and mechanical engineering.

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Extra resources for Advances in Imaging and Electron Physics, Vol. 92

Example text

6. d. Weighted Unsharp Masking (Jackson and Kaye, 1982). The conventional unsharp masking is a well-known method for enhancing high spatial frequencies by subtracting from the original image f ( x , y) a blurred version b(x,y) of the same. If b(x,y) is obtained by means of a linear low pass, as for instance by determining the unweighted average gray value inside of the observation window U,the unsharp masking is equivalent to a linear high pass. Now, let us consider an ideal gray-value step function with step height A , and an edge pixel p = (xo,yo).

With p > 1 (p < l), the filter performs a nonlinear maximum (minimum) estimation and can therefore be used for suppressing negative (positive) spike noise, whenever the current pixel is judged to be affected by this kind of noise. This aim can be attained by computing the filter output u(x, y) by means of the following filter function, for which it is necessary to introduce the thresholds tl and tz and to determine the local mean C : up(x,y) uq(x,y ) f ( x , y) with p > 1 if C - f ( x , y ) > tl , with q < 1 if f ( x , y) - C > t z , otherwise.

For p = 1, one obtains the conventional mean filter. With p > 1 (p < l), the filter performs a nonlinear maximum (minimum) estimation and can therefore be used for suppressing negative (positive) spike noise, whenever the current pixel is judged to be affected by this kind of noise. This aim can be attained by computing the filter output u(x, y) by means of the following filter function, for which it is necessary to introduce the thresholds tl and tz and to determine the local mean C : up(x,y) uq(x,y ) f ( x , y) with p > 1 if C - f ( x , y ) > tl , with q < 1 if f ( x , y) - C > t z , otherwise.

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Advances in Imaging and Electron Physics, Vol. 92 by Peter W. Hawkes (Ed.)


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