1Assistant Professor, Department of Physics, IFTM University, Moradabad (U.P.) India
2Associate Professor, Department of Physics, Hindu College, Moradabad (U.P.) India
Online published on 19 April, 2019.
Wavelet selection is most important part in signal compression as well as in signal denoising etc. In this paper we have proposed a technique of best wavelet selection for image processing using SPIHT method. By image compression, we can reduce the storage space of images that will be helpful to increase storage and transmission process's performance. Compression is implemented in software using MATLAB Wavelet Toolbox [10], [11]. We have analysed two terms namely compression ratio and bit per pixel. Many wavelets are used in signal and image processing. We have taken Haar, Daubechies, Biorthogonal and Symlet wavelet out of these for best wavelet analysis.
