Hyperspectral images present some specific characteristics that should be used by an
efficient compression system. In compression, wavelets have shown a good adaptability to a …

It is well known in transform coding, that the Karhunen–Loève transform (KLT) is optimal
only for Gaussian sources. However, in many applications using JPEG2000 Part 2 codecs …

The use of wavelets in the broad areas of source coding, communications, and networks is
surveyed. Specifically, the impact of wavelets and wavelet theory in image coding, video …

In this paper, we present a multiple description video coding algorithm based on error-
resilient and error concealment set partitioning in hierarchical trees (ERC-SPIHT). In this …

End users of large volume image datasets are often interested only in certain features that
can be identified as quickly as possible. For hyperspectral data, these features could reside …

The authors propose an efficient compression algorithm for hyperspectral images, which is
based on the correlation coefficients adaptive asymmetric tree three-dimensional (3D) set …

Future high resolution instruments planned by CNES for space remote sensing missions will
lead to higher bit rates because of the increase in resolution, dynamic range and number of …

We introduce a low-complexity codec for lossy compression of hyperspectral images. These
images have two kinds of redundancies: 1) spatial; and 2) spectral. Our coder is based on a …

It is well known in transform coding that the Karhunen-Loeve transform (KLT) can be
suboptimal for non Gaussian sources. However in many applications using JPEG2000 Part …

Zerotrees of wavelet coefficients have shown a good adaptability for the compression of
three-dimensional images. EZW, the original algorithm using zerotree, shows good …