A Comparative Study of DCT and DWT-SPIHT
Pardeep Singh, Sonika Jindal, Shaheed Bhagat, Shaheed Bhagat Singh · 2012
Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are the common methods used in signal and image compression. Wavelet transform are very powerful compared to Fourier transform because its ability to describe any type of signals both in time and frequency domain simultaneously. In this paper, we will discuss the use of Discrete Cosine Transform (DCT) and Wavelet Based Image compression Algorithm-Set Partitioning in Hierarchical Tree (SPIHT). We do the numerical experiment by considering various types of images and by applying DCT and DWT-SPIHT to compress an image. We found that DWT yields better result as compared to DCT. For DWT, various wavelet filters such as Haar (2 filters) and Daubechies (up to 10 filters) are used. All the numerical results were done by using Matlab programming.