Performance Analysis of Wavelet Families for Image Compression
Amrut N. Patel, Ravindra M. Patel, Dharmesh J. Shah · 2013
Image compression defines as reducing the amount of data required to represent digital image. In recent time, wavelet transforms has emerged as a popular technique for image compression. The wavelet transform can be composed of any function that satisfies requirements of multiresolution analysis. It means that there exists a large choice of wavelets depending on the choice of wavelet function. The wavelet transform has high decorrelation and energy compaction efficiency. This paper presents a comparative study of various wavelet families for image compression and tests the results in terms of compressed image quality and mean square error (MSE). We have examined and compared various wavelet families such as Haar, Daubechies, Symlets, Coiflets, Biorthogonal and Reverse Biorthogonal using variety of test images. The results are measured in terms of MSE, CR and PSNR considering as subjective quality measures.