ANALYSIS OF IMAGE COMPRESSION RATIO USING HAAR AND DB WAVELET TRANSFORM WITH DIFFERENT FILTERS

Abstract

Image compression is an important field of research, students and that has been studied for nearly three decades now. Compression of images has numerous applications in diverse areas such as high definition videophones, television, medical imaging, on-line product catalogs and other multimedia applications. Another important application is browsing, where the focus is on getting high compression. For many years, the most popular image compression technique was based on the discrete cosine transform. Virtually all image compression algorithms exploit this statistical structure to devise a compressed representation of an image. In this paper we used de-noising filter (Wiener filter and Median filter) with the Haar wavelet and db2 wavelet at the transmission and receiver side and also used flat fading Reyligh is used as wireless channel for transmission of image on wireless medium with QPSK and 8-PSK modulation. Performance of these systems is measured by SER and BER plot with respect to SNR. The experimental result shows that the proposed scheme maintains the accuracy of compression, transmission and decompression of image.