This paper proposes a novel medical image compression method using sparse
representation approach that exploits the geometrical regularity of image structure. The …

In spite of great advancements in multimedia data storage and communication technologies,
compression of medical data remains challenging. This paper presents a novel compression …

Region-based compression technique is particularly useful for radiological archiving system
as it allows diagnostically important regions to be compressed with near lossless quality …

Recent years have seen great development in the field of medical imaging and
telemedicine. Despite the developments in storage and communication technologies …

Sažetak Selective Image Compression (SeLIC) is a compression technique where explicitly
defined regions of interest (Roi) are compressed in a lossless way whereas image regions …

The use of medical images in diagnostic procedures is increasing, leadning to a significant
rise in the memory and bandwidth requirements for preserving and transmitting these …

Medical data grows very fast and hence medical institutions need to store high volume of
data about their patients. Medical images are one of the most important data types about …

Advanced microscopic techniques such as high-throughput, high-content, multispectral, and
3D imaging could include many images per experiment requiring hundreds of gigabytes …

To improve the compression rates for lossless compression of medical images, an efficient
algorithm, based on irregular segmentation and region-based prediction, is proposed in this …

In this paper, a fast lossless image compression method is introduced for compressing
medical images, it is based on splitting the image blocks according to its nature along with …