Author(s)

Ravi kumar Mulemajalu, Shivaprakash Koliwad

Corresponding author, Department of IS&E., KVGCE, Sullia, Karnataka, India;.
Department of E&C., MCE, Hassan, Karnataka, India..

Mammography is a specific type of imaging that uses low-dose x-ray system to examine breasts. This is an efficient means of early detection of breast cancer. Archiving and retaining these data for at least three years is expensive, diffi-cult and requires sophisticated data compres-sion techniques. We propose a lossless com-pression method that makes use of the smoothness property of the images. In the first step, de-correlation of the given image is done using two efficient predictors. The two residue images are partitioned into non overlapping sub-images of size 4x4. At every instant one of the sub-images is selected and sent for coding. The sub-images with all zero pixels are identi-fied using one bit code. The remaining sub- images are coded by using base switching method. Special techniques are used to save the overhead information. Experimental results indicate an average compression ratio of 6.44 for the selected database.

Lossless Compression; Mammography image; Prediction; Storage Space

Mulemajalu, R. and Koliwad, S. (2009) Lossless compression of digital mammography using base switching method. Journal of Biomedical Science and Engineering, 2, 336-344. doi: 10.4236/jbise.2009.25049.