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Wavelet Transformation For Scanned Image Enhancement | ||
| Journal of Al-Qadisiyah for Computer Science and Mathematics | ||
| Article 1, Volume 3, Issue 1, 2011, Pages 1-8 PDF (0 K) | ||
| Author | ||
| Hedhab Khalid Al- Jobory | ||
| Abstract | ||
| After scanning, a document is typically blurred, and some noise is introduced. Therefore, the enhancement process of a scanned document requires a denoising and deblurring step. Typically, these steps are performed using techniques originated in the wavelet-domain processing. Wavelet enable us to represent signals with high degree of sparsely. This is the principle behind a non- liner wavelet based signal estimation technique known as wavelet denoising. One main reason for the success of wavelet is that wavelets adapt automatically to smooth and non-smooth parts in an image due to the link between wavelets and sophisticated smoothness spaces. | ||
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