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

Publication Type:

Journal Article


International Conference on Mathematical Computer Engineering ICMCE-2016, VIT University, Chennai (2016)


Department of Science and Humanities


Three 2-D functions are considered which are approximated and compressed using multilevel discrete 2-D wavelet transforms like Haar, Daubechies, Coiflet and Symlet. 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.