Article citationsMore>>

Namuduri, K. R., Ranganathan, N., and Rashedi, H., (1996) SVBS: A high-resolution medical image compression algo-rithm using slicing with variable block size segmentation, IEEE Proceedings of ICPR, 919–923.

has been cited by the following article:

• TITLE: Lossless compression of digital mammography using base switching method

  AUTHORS: Ravi kumar Mulemajalu, Shivaprakash Koliwad

  KEYWORDS: Lossless Compression; Mammography image; Prediction; Storage Space

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.2 No.5, September 17, 2009

  ABSTRACT: 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.