IMAGE COMPRESSION USING WIENER FILTER, MEDIAN FILTER WITH DB2-TRANSFORM

Abstract

Today we live in a digital information society. Exchange of information is a means of knowledge sharing which is vital for the progress of mankind. The technological advancements in digital communication and computer technology have paved the way for all pervading World Wide Web based internet. The development and deployment of 4G technology based mobile communication has provided a powerful multimedia communication device for users. The multimedia signals are alphanumerical text signals, audio signals including speech and music, and video signals including still and moving images. Transducer based sensor data may fall under any one or more of the above categories of signals i.e., text, audio and video. Sensor networks have emerged as an integral part of information technology. In this paper we are done by using de-noising filter such as different filter like Wiener filter and Median filter at receiving end. The accuracy of compression methods is measured by CR and PSNR, with two modulation scheme (QPSK and 8-PSK) on Fading Channel. Performance of these systems is measured by BER plot with respect to SNR through MATLAB R2013a tool used, the experimental result shows that the proposed scheme maintains the accuracy of compression, transmission and decompression of image.