Image Compression of 2-D Continuous Exponential functions, Continuous Periodic functions and Product of Sine and Cosine functions using Discrete Wavelet Transform

Publication Type:

Journal Article


Journal of Informatics and Mathematical Sciences, Volume 9, Issue 9 (2017)


Department of Science and Humanities


Wavelet transforms plays an important role in image compression techniques that developed recently. Here we consider three 2-D functions which are approximated and compressed using multilevel discrete 2-D wavelet transforms like Haar, Daubechies, Coiflets and Symlets. The quality of the compressed images is measured using the mean square error (MSE), peak to signal ratio (PSNR), maximum error (MAXERR), L2RAT, compression ratio and bit per pixel. The performance of the above mentioned wavelets is synthesized in terms of experimental results which demonstrates that haar wavelets provides high compression ratios for 2-D exponential functions and the product of sine and cosine functions whereas daubechies wavelet gives good compression ratio for 2-D periodic function.