A first attempt to exploit Distributed Source Coding (DSC) principles for the lossless compression of hyperspectral images is presented. The DSC paradigm is exploited to design a very light coder which minimizes the exploitation of the correlation between the image bands. In this way we managed to move the computational complexity from the encoder to the decoder, thus matching the needs of classical acquisition system where compression is achieved on board of the aerial platform and decoding at the ground station. Though the encoder does not explicitly exploit inter-band correlation, the achieved bit rate is about 1 b/p lower than classical 2D schemes such as JPEG-LS or CALID 2D, and only about 1 b/p higher than the best performing, and muc...
Remote sensing multispectral image compression encoder requires low complexity, high robust, and hig...
Hyperspectral images are of very large data size and highly correlated in neighboring bands, therefo...
Algorithms for lossless and lossy compression of hyperspectral images are presented. To greatly redu...
A first attempt to exploit Distributed Source Coding (DSC) principles for the lossless compression o...
The goal of this work is to study the feasibility of a low-complexity encoder for lossless compressi...
This paper deals with the application of distributed source coding (DSC) theoryto remote sensing ima...
This paper deals with the application of distributed source coding (DSC) theory to remote sensing im...
In this paper, we propose a lossless compression algorithm for hyperspectral images inspired by the ...
A low-complexity compression algorithm for hyperspectral images based on distributed source coding (...
In this paper we propose a lossless compression algorithm for hyperspectral images based on distribu...
In this paper we propose an algorithm for near-lossless com-pression of hyperspectral images based o...
This paper investigates the application of lossy distributed source coding to high resolution multis...
In remote sensing systems, on-board data compression is a crucial task that has to be carried out wi...
UnrestrictedMany video compression schemes (e.g., the recent H.264/AVC standard) and volumetric imag...
Distributed compression or Distributed Source Coding (DSC) refers to separate compression and joint ...
Remote sensing multispectral image compression encoder requires low complexity, high robust, and hig...
Hyperspectral images are of very large data size and highly correlated in neighboring bands, therefo...
Algorithms for lossless and lossy compression of hyperspectral images are presented. To greatly redu...
A first attempt to exploit Distributed Source Coding (DSC) principles for the lossless compression o...
The goal of this work is to study the feasibility of a low-complexity encoder for lossless compressi...
This paper deals with the application of distributed source coding (DSC) theoryto remote sensing ima...
This paper deals with the application of distributed source coding (DSC) theory to remote sensing im...
In this paper, we propose a lossless compression algorithm for hyperspectral images inspired by the ...
A low-complexity compression algorithm for hyperspectral images based on distributed source coding (...
In this paper we propose a lossless compression algorithm for hyperspectral images based on distribu...
In this paper we propose an algorithm for near-lossless com-pression of hyperspectral images based o...
This paper investigates the application of lossy distributed source coding to high resolution multis...
In remote sensing systems, on-board data compression is a crucial task that has to be carried out wi...
UnrestrictedMany video compression schemes (e.g., the recent H.264/AVC standard) and volumetric imag...
Distributed compression or Distributed Source Coding (DSC) refers to separate compression and joint ...
Remote sensing multispectral image compression encoder requires low complexity, high robust, and hig...
Hyperspectral images are of very large data size and highly correlated in neighboring bands, therefo...
Algorithms for lossless and lossy compression of hyperspectral images are presented. To greatly redu...