We present an efficient content-based image coding called locally adaptive resolution (LAR)
offering advanced scalability at different semantic levels, ie, pixel, block, and region. A local …

Quality assessment is of major importance when designing and testing an image/video
coding technique. Compression performances are usually evaluated by means of rate …

When considering color images and more generally multi component images, state of the art
image codecs usually achieve component decorrelation through static color transforms such …

Through the development of medical imaging systems and their integration into a complete
information system, the need for advanced joint coding and network services becomes …

Next generations of still image codecs should not only have to be efficient in terms of
compression ratio, but also propose other functionalities such as scalability, lossy and …

The joint source–channel coding system proposed in this paper has two aims: lossless
compression with a progressive mode and the integrity of medical data, which takes into …

Multi-view video plus depth (MVD) data is a set of multiple sequences capturing the same
scene at different viewpoints, with their associated per-pixel depth value. Overcoming this …

This paper presents a full multiresolution lossless coding method, with advanced semantic
scalability. In particular, a reversible form of the usual Walsh Hadamard Transform (RWHT) …

Embedded image codecs have generally strong constraints in terms of speed, latency and
complexity. We introduce in this paper a dedicated coder implementation of the LAR coding …

This paper presents a new scalable locally adaptive resolution lossless low-complexity (LAR-
LLC) image codec. It is based on the LAR framework that is a multiresolution compression …