Wavelet Transformation For Scanned Image Enhancement

  • Hedhab Khalid Al- Jobory Computer Center
Keywords: Image enhancement, Wavelet Transformation, Scanned image enhancement

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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Published
2017-09-27
How to Cite
Khalid Al- Jobory, H. (2017). Wavelet Transformation For Scanned Image Enhancement. Journal of Al-Qadisiyah for Computer Science and Mathematics, 3(1), 263-272. Retrieved from https://qu.edu.iq/journalcm/index.php/journalcm/article/view/259
Section
Math Articles