Comparative Analysis of Post-wavelet Denoising for Interpolated Images Having Various Noises

Abstract

In this work, comparative analysis of wavelet-based denoising for interpolated images contaminated with various noises has been presented. In order to upscale the images, interpolation is the fastest and simplest method, but its performance varies with the type of noises present in images. In today’s time, most of the images are present in compressed form and may contain various type of noises. The wavelet-based noise removal method combined with interpolation can act as a solution to restore these images. In the presented work, a comparison of the performance of wavelet-based denoising methods along with interpolation for the different type of noises with compression artifacts has been presented. PSNR and SSIM quality matrices have been compared for different type of noises for both highly compressed and non-compressed images. On the basis of this analysis, one proper method of wavelet denoising along with image interpolation can be selected for particular type of noise.