Background: Image compression is an area of research that has many applications
spanning different technological fields; among the most important of these fields is that of mammography
images compression. With whole mammography images becoming increasingly practical
and cost-effective, the need for a superior space-saving algorithm is obvious. Also, it becomes
important that reconstructed image achieves high compression rates without any alterations from
its original form in order to maintain the image quality which has an influence on the accuracy of
Methods: This paper presents a lossless compression algorithm that is based on image enhancement,
Haar wavelet transform and differential Pulse Code Modulation (DPCM) to optimize the
compression of 50 mammography images. Image enchantment is implemented by two techniques;
Histogram Equalization (HE) and top-hat filtering. The performance of compressed images is
measured by Compression Ratio (CR), Mean Square Error (MSE), Peak Signal to Noise Ratio
(PSNR), and time consumption.
Results: This proposed algorithm is compared to existing ones and the results show that the compression
ratio has increased from 6.44 to 26.841.