Blackfin processor based secure medical image, audio and video transmission technique for telemedicine considering online application

摘要

Telemedicine means transmission of medical data between users for diagnosis is one of the emerging fields in medicine. During transmission of medical data such as images, videos etc over internet huge bandwidth are needed. Resolution factor and number of images per diagnosis makes even the size of the medical image and video that belongs to a single patient to be very large in size. So there is an immense need for efficient compression techniques for use in compressing these medical data to decrease the storage space and efficiency of transfer the images over network for access to electronic patient records. And also during transmission security of the data is very important. This project summarizes the different transformation methods used in compression as compression is one of the techniques that reduces the amount of data needed for storage or transmission of information, and the security technique used for secure transmission of data. Here we outlines the comparison of transformation methods such as DPCM (Differential Pulse Code Modulation), and prediction improvement in DPCM transformation step of compression which is efficient in both entropy reduction and computational complexity. The improved DPCM transformation increases the energy compaction of prediction model and as a result reduces entropy value of transformed image. After transforming the image Huffman encoding used to compress the image. Security is then added to the compressed image formed by signature analysis. Finally each process involved in detecting hard exudates take up a icon in a single window called Graphical User Interface (GUI) window which will be an exclusive window for detecting hard exudates. The processed resultant image can be examined comfortably at its earlier stages and thus reducing the examining time. The result is analyzed using MATLAB and implemented in hardware.