With the development of modern communications technology, data compression is
becoming more important to save space and reduce transmission costs. Because of this …

Medical imaging using different modalities has many problems. The main ones are low
informativeness, various distortion noises, and a large amount of information. Fusion …

In the present digital era, the exploitation of medical technologies and massive generation of
medical data using different imaging modalities, adequate storage, management, and …

The role of compression is inevitable in the storage and transmission of medical images.
The polynomial based image compression is proposed in this work for the compression of …

Discrete wavelet transform (DWT) is a technique which is used to acquire wavelets from
image pixels. It transforms a discrete time signal to discrete wavelet representation. The …

With the ongoing development of machine learning techniques, it is now necessary to train
and evaluate these algorithms to have access to high-quality medical X-ray datasets. This …

Near-lossless compression is a generalization of lossless compression, where the codec
user is able to set the maximum absolute difference (the error tolerance) between the values …

In this work, we present and evaluate a hardware architecture for the LOCO-ANS (Low
Complexity Lossless Compression with Asymmetric Numeral Systems) lossless and near …

Advanced image scanning techniques produce high resolution medical images such as CT,
MRI which in turn needs large storage space and bandwidth for transmitting over a network …

This paper is about a novel representation based on lossless encoding for medical images.
It relies on directional codes for efficient storage and transmission. Image compression is a …