Hospital and clinical environments are moving towards computerisation, digitisation and centralisation, resulting in prohibitive amounts of digital medical image data. Compression techniques are, therefore, essential in archival and communication of medical image. Although lossy compression yields much higher compression rates, the medical community has relied on lossless compression for legal ...

The main process involves in medical image compression algorithms is encoding information using lesser amount of bits than the original representation used. Image compression is useful as it reduces the load of expensive resources and their consumption. These resources include transmission bandwidth, disk space etc. Compression may be lossy or lossless. But we avoided the concept of lossy compr...

Image compression is one of the most important applications Digital Image Processing. Advanced medical imaging requires storage of large quantities of digitized clinical data. Due to the constrained bandwidth and storage capacity, however, a medical image must be compressed before transmission and storage. There are two types of compression methods, lossless and lossy. In Lossless compression m...

With the rapid growth of medical image data, it has become a current research hotspot that how to realize large amounts real-time upload and storage images with limited network bandwidth space. However, currently, compression technology cannot perform joint optimization rate (the degree compression) distortion (reconstruction effect). Therefore, this study proposed algorithm based on variationa...