An Approach to Medical Image Compression Using Filters Based On Lifting Scheme
B Anju, Shanmuganathan Manimurugan · IOSR Journal of VLSI and Signal processing · 2012
Image compression plays an important role in the compression of medical images.Medical imagings are mainly used for diagnosis of diseases and surgical planning.Medical images are usually stored digitally.Medical Image compression plays an important role in telematics especially in telemedicine.It is necessary that medical images need to be compressed for reliability to be transmitted.In the medical image compression diagnosis is effective only when the compressed image preserves all the information of the original image.This results in a lossless compression technique.While lossy compression techniques, are more efficient in terms of storage and transmission needs but there is no warranty that they can preserve the characteristics needed in medical image processing and diagnosis.Compression plays an important role as medical imaging moves to film less imaging.CTI or MRI medical imaging are used nowadays which can produce pictures of the human body in digital form.The lifting scheme is used for the design of both orthogonal and bi-orthogonal filters .It is implemented for the orthogonal filters using two lifting steps .The performance of the proposed filters are then compared with the conventional filters in terms of compression ratio, PSNR etc.The bi-orthogonal filters are implemented using the SPIHT algorithm replacing the EZW coding for image compression.SPIHT algorithm requires fewer bits to capture the same amount of information when compared with EZW proposed.