Digital Image Sharpening Based on Fractional Differential Masks
| Autor: | Tzu-sung Wang, 王子松 |
|---|---|
| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 In the traditional digital image sharpening methods,integer-order differentiation operators are often used. To improve the flexibilities of sharpening methods, we study how to use fractional differentiation to construct the image sharpening masks in this thesis. First, we use the Grunwald-Letnikov fractional derivative to construct onedimensional and two-dimensional fractional differential masks, and apply both of them to develop image sharpening methods. Next, a digital image sharpening mask based on Riesz potential is also presented. Finally, the comparisons with conventional Laplacian and un-sharp masking methods are made to show the effectiveness of the proposed image sharpening methods based on fractional differentiation masks. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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