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Secured Lossless Medical Image Compression Based On Adaptive Binary Optimization

Image and data compression is of vital importance and has great significance in many practical applications. Large amount of medical image sequences are available in various hospitals and medical organizations, which occupies considerable storage space. Hence to reduce the storage space there is a need for compressing medical images. In this paper we made an analysis of compressing a medical image using a simple but effective technique called adaptive binary optimization (ABO) based on Repetition and correlation coding and proposed an enhanced security technique on compressed data to attain a high security. ABO is a process and a system for compressing highly correlated image data. The system comprises of capturing the image, converting into digital form, reshaping the data into matrix form, encoding the repetitions into a bit-plane index and encoding data values for storage, storing the compressed data in memory and retrieving the data for decompression. This technique is simple in implementation and utilizes less memory as compared to other lossless compression technique and added security features make it an efficient lossless technique for medical image compression.