PERFORMANCE ANALYSIS OF IMAGE COMPRESSION USING DISCRETE WAVELET TRANSFORM FOR DIFFERENT WAVELETS

Image compression is one of the major image processing techniques that are widely used in medical, automotive, consumer and military applications. Discrete wavelet transforms is the most popular transformation technique adopted for image compression. In this work a DWT based image compression technique is implemented. Input image is processed using DWT and IDWT algorithm and image compression is acheived. Biorthogonal, Haar and DB2 wavelets have been used to compare the performances of DWT-IDWT. MSE, CR and PSNR are the three parameters that are used to analyze the DWT performances and it is found that DB2 wavelet achieves better compression and also reconstruction is better in terms of MSE and PSNR. 1.