Implementation and performance study of a generalized iterative algorithm for image reconstruction from the Hartley transform intensity
| Autor: | E. A. Korany |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
business.industry
Iterative method ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Top-hat transform Image processing Iterative reconstruction Real image Discrete Hartley transform symbols.namesake Fourier transform Artificial Intelligence Signal Processing Hartley transform symbols Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software Mathematics |
| Zdroj: | Pattern Recognition Letters. 14:771-780 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/0167-8655(93)90059-m |
| Popis: | In many imaging applications only the intensity of the image transform can be observed, and the phase information of the transform is lost. Because the Fourier transform of a real function is complex in general, the phase is needed to reconstruct the real image. On the other hand, the Hartley transform of a real image is always real, and only the sign is lost when the Hartley intensity is recorded. The sign ambiguity is a much less serious defect than the absence of phase knowledge when one is recording the intensity of the Fourier transform of a real image. In this paper, we implement a generalized interative algorithm for reconstructing an image from its Hartley transform intensity. The generalized algorithm is based on the error-reduction and input-output concepts. Programs were developed to implement the algorithm. Results show reconstructed images from their Hartley transform intensity. Also, the performance of the implemented algorithm is monitored during the image reconstruction process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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