A series of Total Variation based algorithms are presented for the restoration of bilevel waveforms from observed signals. The proposed model is discussed analytically and numerically via the gradient descent minimization of the TV energy. The application of restoration of bilevel waveforms encoded within barcode images is presented. A super- resolution technique is proposed as a reduction of dimensionality of the image data. The result is a high resolution image from which the encoded bilevel waveform is restored. Implementation of results is shown for synthetic and real images.
| Identifer | oai:union.ndltd.org:vcu.edu/oai:scholarscompass.vcu.edu:etd-3766 |
| Date | 27 April 2012 |
| Creators | McCarter, Rebecca |
| Publisher | VCU Scholars Compass |
| Source Sets | Virginia Commonwealth University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
| Rights | © The Author |
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