Dual Link Image Coding Based on CCSDS-123
Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Date:	2022
Abstract:	Predictive coding techniques are attractive for image codecs because they can yield high compression efficiency while spending few computational resources. In remote sensing, predictive techniques are employed in prominent standards to transmit images captured by Earth Observation (EO) satellites. Although EO satellites have full duplex capacity, compression standards for spatial data are devised to use the downlink only. Recently, we presented a dual-link image coding system that employs both the uplink and the downlink to accelerate the transmission of such images. The proposed system was introduced in the wavelet-based JPEG2000 standard, which is not well-suited for satellites due to its complexity. This letter approaches the dual-link scheme to a more suitable standard for spatial data based on predictive coding, more precisely, the Lossless Multispectral and Hyperspectral image compression standard CCSDS-123. 0-B. 2. The proposed method adapts the dual-link image coding scheme to CCSDS-123. 0-B-2 by incorporating a quantizer, a lightweight arithmetic coder, and a rate control technique. Experimental results suggest that the resulting system achieves higher coding ratios than CCSDS-123. 0-B-2 and JPEG2000 with dual link.
Grants:	Agencia Estatal de Investigación RTI2018-095287-B-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-463
Rights:	Aquest material està protegit per drets d'autor i/o drets afins. Podeu utilitzar aquest material en funció del que permet la legislació de drets d'autor i drets afins d'aplicació al vostre cas. Per a d'altres usos heu d'obtenir permís del(s) titular(s) de drets.
Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	CCSDS-123.0-B-2 ; Dual link image coding ; Remote sensing images ; Image coding ; Satellites ; Entropy ; Encoding ; Transform coding ; Standards ; Redundancy
Published in:	IEEE geoscience and remote sensing letters, Vol. 19 (December 2022) , art. 8008905, ISSN 1545-598X

DOI: 10.1109/LGRS.2021.3062903

Postprint 6 p, 721.1 KB

The record appears in these collections:
Articles > Research articles
Articles > Published articles