A Secure Fast 2d-discrete Fractional Fourier Transform Based Medical Image Compression Using Spiht Algorithm with Huffman Encoder

Various transforms like DCT, DFT used to achieve image transformation have been described by Ramesh Babu Durai et al (2012). Contourlet based ROI method with wavelet transform is a better method of digital signals and images. By means of expensive calculation, processing of data compression has eased the burden of image transmission and storage as discussed by Tamilarasi & Palanisamy (2009). Data compression attempts to decrease the size of the image by concentrating on the removal of superfluous data. Storage area of the image can be doubled by compressing an image into half its original size as stated by Al-Sammraie & Khamis (2008). Thus, the spatial and spectral redundancies which minimize the number of bits needed to represent an image is eliminated. This facilitates substantial reduction in the bandwidth requirement for transmitting an image over the network. Data storage, archiving and communication of medical images over the internet to the end user have significant applications for data compression as stated by Ghrare et al (2008).