Lossless Medical Image Compression by Multi Oriented Prediction Technique

1P. Renukadevi and Dr.M. Syed Mohomed

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Abstract:

Image compression plays a vital role in medical field in which the medical images can be transmitted from one place to another, needs less space to store the data. Radiologist scans the patient’s interior part of the body by using some technology and instruments. Medical images are in the form of X-ray, CT, MRI, PET etc. In hospitals and health centers large amounts of medical image data are produced during the diagnosis of the patient. The proposed algorithms are tested over 325 cases of 3D medical images. The experimental results reveals that proposed image compression then encryption system provides high compression ratio, better bits per pixel, mean square error, less encryption and decryption time with better encryption quality and good system performance as compared to existing approaches. The PSNR value for 3D medical image is 56.4754 and the CT image PSNR value is 55.3924.

Keywords:

Multi Oriented Prediction Technique, Lossless Medical Image Compression.

Paper Details
Month3
Year2020
Volume24
IssueIssue 5
Pages1277-1296