Wavelet Based ROI Coding for Medical Images Using SFQ

This book presented a new medical image compression technique based on improved statistical modelling of subband discrete wavelet transform coefficients. Performance of the coder is further improved by using Region-of-Interest coding. Concepts of image compression techniques are clearly explained. Statistical modelling is explained and analysed the behaviour with different medical images. A new quantization scheme, region of interest (ROI) space frequency quantization (SFQ) is explain and analysed the behaviour with different type of medical images and also analysed the effect of wavelet filters over ROI-SFQ coder. References to some of the best traditional (and non-traditional) texts and papers are given for further application-specific study

Autorentext
Krishna Kumar received the BE degree in ECE from Govind Ballabh Pant Engineering College, Pauri Garhwal and the MTech degree from Motilal Nehru NIT, Allahabad in Digital Systems. Presently, he is working as Assistant Professor, BTKIT Dwarahat. His research interests include Image & Signal processing.