An application of homomorphic deconvolution to the tomographic restoration of radiographs |
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| Institution: | 1. UFPA, Faculty of Geophysics, Petrophysics and Rock Physics Laboratory – Prof. Dr. Om Prakash Verma, Belém, PA, Brazil;2. National Institute for Petroleum Geophysics (INCT-GP), Brazil;3. University of Houston, Department of Earth and Atmospheric Sciences, Houston, TX, USA;2. University of Groningen, Groningen, The Netherlands. |
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| Abstract: | This paper derives an optimal homomorphic tomographic filter, to restore tomographic images of blurred radiographs, by taking into account the noise contributed by the other layers. The method is based on the homomorphic deconvolution technique, which is well-known for its performance in image restoration. A computer simulation of the procedure is presented. The results are compared with those obtained by using inverse filtering (3, IEEE Trans on Medical Imaging, Vol. 2, pp. 89–102, 1983) and Wiener filtering (4, Proc. Digitech '84). The paper shows that homomorphic filtering is a suitable and often preferable technique for the tomographic filtering of radiographs. |
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