Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44990
Title: On the hardware implementation of the arithmetic elements of the pairwise orthogonal transform
Authors: Santos, Lucana 
Blanes, Ian
García, Aday
Serra-Sagristà, Joan
López, José 
Sarmiento, Roberto 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Image compression
Image coding
SPIHT algorithm
Issue Date: 2015
Journal: Journal of Applied Remote Sensing 
Abstract: The pairwise orthogonal transform (POT) is an attractive alternative to the Kahrunen- Loève transform for spectral decorrelation in on-board multispectral and hyperspectral image compression due to its reduced complexity. This work validates that the low complexity of the POT makes it feasible for a space-qualified field-programmable gate array (FPGA) implementation. A register transfer level description of the arithmetic elements of the POT is provided with the aim of achieving a low occupancy of resources and making it possible to synthesize the design on a space-qualified RTAX2000S and RTAX2000S-DSP. In order to accomplish these goals, the operations of the POT are fine-tuned such that their implementation footprint is minimized while providing equivalent coding performance. The most computationally demanding operations are solved by means of a lookup table. An additional contribution of this paper is a bit-exact description of the mathematical equations that are part of the transform, defined in such a way that they can be solved with integer arithmetic and implementations that can be easily cross-validated. Experimental results are presented, showing that it is feasible to implement the components of the POTon the mentioned FPGA.
URI: http://hdl.handle.net/10553/44990
ISSN: 1931-3195
DOI: 10.1117/1.JRS.9.097496
Source: Journal of Applied Remote Sensing,v. 9 (097496)
Appears in Collections:Artículos
Thumbnail
Adobe PDF (1,99 MB)
Show full item record

SCOPUSTM   
Citations

3
checked on Nov 17, 2024

WEB OF SCIENCETM
Citations

3
checked on Nov 17, 2024

Page view(s)

84
checked on May 4, 2024

Download(s)

104
checked on May 4, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.