A tutorial on image compression for optical space imaging systems
Public policies and private initiatives share the will to explore outer space and to monitor the
Earth from space sensors. Recent years have seen an increased number of space missions …
Earth from space sensors. Recent years have seen an increased number of space missions …
A review on hyperspectral image compression
The growth of small satellite communication technologies, demands for data transmission
and storage is rapidly increased. The advancements in computer technology and digital …
and storage is rapidly increased. The advancements in computer technology and digital …
Error-resilient and low-complexity onboard lossless compression of hyperspectral images by means of distributed source coding
In this paper, we propose a lossless compression algorithm for hyperspectral images
inspired by the distributed-source-coding (DSC) principle. DSC refers to separate …
inspired by the distributed-source-coding (DSC) principle. DSC refers to separate …
Multiband lossless compression of hyperspectral images
Hyperspectral images exhibit significant spectral correlation, whose exploitation is crucial for
compression. In this paper, we investigate the problem of predicting a given band of a …
compression. In this paper, we investigate the problem of predicting a given band of a …
Distributed arithmetic coding for the Slepian–Wolf problem
Distributed source coding schemes are typically based on the use of channels codes as
source codes. In this paper we propose a new paradigm, named ldquodistributed arithmetic …
source codes. In this paper we propose a new paradigm, named ldquodistributed arithmetic …
Satellite image compression-detailed survey of the algorithms
KS Gunasheela, HS Prasantha - Proceedings of International Conference …, 2018 - Springer
Image compression is the process of reducing the size of the image without compromising
image quality to an unacceptable level. Satellite image compression is very much essential …
image quality to an unacceptable level. Satellite image compression is very much essential …
Lossy compression of noisy sparse sources based on syndrome encoding
Data originating from devices and sensors in Internet of Things scenarios can often be
modeled as sparse signals. In this paper, we provide new source compression schemes for …
modeled as sparse signals. In this paper, we provide new source compression schemes for …
Comparison of OMP and SOMP in the reconstruction of compressively sensed hyperspectral images
In this paper, we present a novel method for the acquisition and compression of
hyperspectral images based on two concepts-distributed source coding and compressive …
hyperspectral images based on two concepts-distributed source coding and compressive …
Lossless and near-lossless compression of hyperspectral images based on distributed source coding
Y Nian, M He, J Wan - Journal of Visual Communication and Image …, 2015 - Elsevier
This paper addresses the problem of the lossless and near-lossless compression of
hyperspectral images and presents two efficient algorithms based on distributed source …
hyperspectral images and presents two efficient algorithms based on distributed source …
Low‐Complexity Compression Algorithm for Hyperspectral Images Based on Distributed Source Coding
Y Nian, M He, J Wan - Mathematical Problems in Engineering, 2013 - Wiley Online Library
A low‐complexity compression algorithm for hyperspectral images based on distributed
source coding (DSC) is proposed in this paper. The proposed distributed compression …
source coding (DSC) is proposed in this paper. The proposed distributed compression …