A Comparative Analysis on Hardware System of 2D Discrete Wavelet Transformation for the Image Denoising Application

Abstract

In present era every multimedia and portable devices are mostly used for the purpose of entertainment. Now a day’s these multimedia and portable devices are use high graphics, which is based on images and videos. Due to high quality of images and video there is need of compression unit which will reduce the size of raw material & make useful for portable devices. Every portable device are use for as a application of real time transmission and reception of data, So for these kind of real time applications there is need of compressed data with good quality. As we already know in current stage every portable and multimedia devices are battery operated. Due to heavy graphics and high computation unit there is issues of heavy energy consumption. For reduction of those energy consumption there is need of fast and low power architecture which will, make justification with SPPA (Speed, Power, Area and Accuracy). In this paper we did a comparative analysis between previous existing denoising techniques. For this analysis we use image denoising application. Here we did comparative hardware analysis in terms of frequency, logic blocks and slices. Here we also did the application level analysis by using of Matlab where we calculate the quality level in terms of PSNR, MSE. Hardware level design and simulation is done on Xilnx 14.2 & Model Sim. Algorithm level analysis is done on Matlab 2014.