International Journal of Reconfigurable and Embedded Systems (IJRES)
Vol 3, No 1: March 2014

Implementation of LOCO-I Lossless Image Compression Algorithm for Deep Space Applications

P. Praveena (MVJCE, Bangalore)



Article Info

Publish Date
01 Mar 2014

Abstract

Present emerging trend in space science applications is to explore and utilize the deep space. Image coding in deep space communications play vital role in deep space missions. Lossless image compression has been recommended for space science exploration missions to retain the quality of image. On-board memory and bandwidth requirement is reduced by image compression. Programmable logic like field programmable gate array (FPGA) offers an attractive solution for performance and flexibility required by real time image compression algorithms. The powerful feature of FPGA is parallel processing which allows the data to process quicker than microprocessor implementation. This paper elaborates on implementing low complexity lossless image compression algorithm coder on FPGA with minimum utilization of onboard resources for deep space applications.

Copyrights © 2014






Journal Info

Abbrev

IJRES

Publisher

Subject

Economics, Econometrics & Finance

Description

The centre of gravity of the computer industry is now moving from personal computing into embedded computing with the advent of VLSI system level integration and reconfigurable core in system-on-chip (SoC). Reconfigurable and Embedded systems are increasingly becoming a key technological component ...