Elements of information theory
Elements of information theory
Communication systems engineering
Communication systems engineering
ACM Transactions on Information Systems (TOIS)
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
DCC '03 Proceedings of the Conference on Data Compression
DCC '05 Proceedings of the Data Compression Conference
Successive refinement for the Wyner-Ziv problem and layered code design
IEEE Transactions on Signal Processing - Part II
Wyner-Ziv coding of video: an error-resilient compression framework
IEEE Transactions on Multimedia
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Efficient encoding of low-density parity-check codes
IEEE Transactions on Information Theory
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
Duality between source coding and channel coding and its extension to the side information case
IEEE Transactions on Information Theory
Context-based lossless interband compression-extending CALIC
IEEE Transactions on Image Processing
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Distributed arithmetic coding for the Slepian-Wolf problem
IEEE Transactions on Signal Processing
Progressive distributed coding of multispectral images
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
Distributed coding techniques for onboard lossless compression of multispectral images
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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This paper deals with the application of distributed source coding (DSC) theory to remote sensing image compression. Although DSC exhibits a significant potential in many application fields, up till now the results obtained on real signals fall short of the theoretical bounds, and often impose additional system-level constraints. The objective of this paper is to assess the potential of DSC for lossless image compression carried out onboard a remote platform. We first provide a brief overview of DSC of correlated information sources. We then focus on onboard lossless image compression, and apply DSC techniques in order to reduce the complexity of the onboard encoder, at the expense of the decoder's, by exploiting the correlation of different bands of a hyperspectral dataset. Specifically, we propose two different compression schemes, one based on powerful binary error-correcting codes employed as source codes, and one based on simpler multilevel coset codes. The performance of both schemes is evaluated on a few AVIRIS scenes, and is compared with other state-of-the-art 2D and 3D coders. Both schemes turn out to achieve competitive compression performance, and one of them also has reduced complexity. Based on these results, we highlight the main issues that are still to be solved to further improve the performance of DSC-based remote sensing systems.