An Efficient Image Denoising System

The aim of this dissertation work is related to the pre-processing of an image before using it in applications. The pre-processing is done by denoising of image. In order to achieve this, combination of Image denoising algorithms WT (Wavelet transform) and KLT (Karhunen-Loeve transform) and an adaptive filter are applied on images to remove the noise that are either present in the image during capturing or injected into the image during transmission. The WT (Wavelet transform) has an excellent performance in the denoise field while KLT shows a good performance in the signal reconstructed ability and adaptive filter can further enhance the image by filtering out the Gaussian noise. In this work PSNR and MSE parameters are being improved using combination of WT (Wavelet transform), KLT (Karhunen-Loeve transform) and adaptive fillter.