Modern daily life activities result in a huge amount of data, which creates a big challenge for
storing and communicating them. As an example, hospitals produce a huge amount of data …

A great deal of information is produced daily, due to advances in telecommunication, and
the issue of storing it on digital devices or transmitting it over the Internet is challenging. Data …

A novel image compression technique is presented that incorporates progressive
transmission and near-lossless compression in a single framework. Experimental …

This paper proposes a novel approach for lossless image compression. The proposed
coding approach employs a deep-learning-based method to compute the prediction for each …

LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of
the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone …

In past years, there have been several improvements in lossless image compression. All the
recently proposed state-of-the-art lossless image compressors can be roughly divided into …

In this paper, we propose a standard-compliant image compression framework based on
image representation network (IRN) and post-processing neural network (PNN), which are …

The development of multimedia and digital imaging has led to high quantity of data required
to represent modern imagery. This requires large disk space for storage, and long time for …

We describe a hardware implementation of a state-of-the-art lossless image compression
algorithm. The algorithm is based on the LOCO-I (low complexity lossless compression for …

Deep learning based image compression has recently witnessed exciting progress and in
some cases even managed to surpass transform coding based approaches that have been …