Despite the existing medical infrastructure being limited in terms of interoperability, the
amount of medical multimedia transferred over the network and shared through various …

Images are typically nonstationary signals. If prediction is applied in a linear fashion, it must
be combined with a technique that takes this characteristic into account. In general, images …

The storage and transmission of medical data such as CT/MR DICOM images are an
essential part of the telemedicine application. In this paper, a prediction-based lossless …

Innovative ICT technologies, approaches and applications are becoming increasingly
pervasive in several domains, including in medicine and healthcare. In these latter cases …

With the increased use of image acquisition devices, including cameras and medical
imaging instruments, the amount of information ready for long term storage is also growing …

In lossless image compression, many prediction methods are proposed so far to achieve
better compression performance/complexity trade off. In this paper, we concentrate on some …

This paper presents power and execution time efficient implementation of highly adaptive
lossless image compression method based on predictor classification and blending …

Images are typically non-stationary signals. If prediction is applied in a linear fashion, it must
be combined with a technique which takes this characteristic into account. In general …

Many prediction algorithms have been proposed and implemented so far for efficient storage
and transmission. In this paper, we propose an algorithm for predictive coding. This new …

This thesis is focused on automated coronary centerline extraction from Cardiac Computed
Tomography Angiography (CCTA) data. This belongs to the domain of medical image …