Magnetic resonance imaging (MRI), which assists doctors in determining clinical staging
and expected surgical range, has high medical value. A large number of MRI images require …

In this paper, a novel approach based on compressive sensing and chaos is proposed for
simultaneously compressing, fusing and encrypting multi-modal images. The sparsely …

Medical imaging is an active and developing field that has an impact on recognition,
diagnosis and surgical planning of the disease. The image compression is introduced in the …

In this paper, a medical image compression model for efficient transmission of medical
images using block BWT–MTF with Huffman encoding and hybrid fractal encoding is …

With the widely dispersed populations, efficient medical services have scarcely touched the
lives of the people in rural areas. However, the exponential increase in the growth of …

The amount of image data generated on a daily basis in human services is ever increasing,
particularly in combination with the enhanced scanning resolutions and therefore the …

The demand for data compression is increasing rapidly as modern communication
technologies advance. This paper provides a general overview of compression principles …

The limitation of optical sensors set a challenge to acquire high resolution (HR) images.
Previous sparse coding-based SR methods fail to reconstruct satisfied high resolution image …

With the increasingly mature medical imaging technology, super-resolution imaging and
other systems have been widely applied to pathological medical image and tele-medical …

Endoscopic video storage is a major issue today in cloud-based health centre. The EHR
must include full-length endoscopic surgeries for diagnosis and research. This paper …