Wavelet Transformation For 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.