Choice of wavelet filters for medical image compression and approximation
R. Dilmaghani, Alireza Ahmadian, Najme Maleki · 2002
Wavelet coding has proven to be very effective in signal and image compression, denoising and detection. In wavelet based image coding the choice of wavelets is crucial and determines the coding performance. In this paper we investigate effect of applying different types of wavelet filters belonging to orthogonal and biorthogonal families with different orders on the medical image quality in multiresolution framework. Regularity and linearity of phase response of filters were found to be important factors in choosing the proper filter. Our results show that Antonini filter (7/9) is the best choice and leads to more cancellation of aliasing effect caused in the analysis stage and highest peak signal to noise ratio (PSNR) on medical images.