Statistical-based sub-band filtering technique for digital mammogram compression enhancement and denoise

摘要

Abstract: Since the breast cancer is one of the major mortality increasing to middle-aged women, the digital mammograms are used to diagnose the breast cancer broadly. However, the digital mammography requires high spatial resolution and high gray-level resolution. These requirements result in very large image file sizes. Thus, the image transmission and image quality are very important problems in clinical diagnose. Several lossy image compression techniques have been developed to handle this issue. To improve these obstacles, we develop a statistical-based sub-band filtering technique for digital mammogram to increase the compression ratio and apply on the digital mammogram to enhance the disease part, and inhibit the noise in the image. By the way, the digital mammogram data can be compressed effectively and the image quality can also be improved conspicuously. !7