Novel technique of oversampling the broken images using wavelet transform

The paper presents an oversampling technique to overcome the loss incurred at the time of binarizing the images. As such there are very few techniques available in the literature to approximate the loss in the images. This technique is based on the Estimate wavelet transform (EWT) which fulfills the loss and makes the image smooth. Coiflet and Daubechies D8 wavelets are employed in EWT and performances are compared with the traditional Gaussian lowpass filter. All the three approaches are tested on seven distorted images, and observed that the Daubechies D8 and Coiflet wavelets using EWT are better able to approximate the image than Gaussian lowpass filter. Out of seven images two are presented in this paper.