TY - GEN
T1 - A proposed method for lossless image compression in nano-satellite systems
AU - Deigant, Yadava
AU - Akshat, Vora
AU - Raunak, Hosangadi
AU - Pranjal, Paliwal
AU - Avi, Jain
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - This paper introduces a lossless image compression algorithm aimed at compressing thermal images captured, stored and transmitted by a Nano-satellite system. This algorithm is applied specifically to thermal grey scale images. The compression method used tries to achieve a balance between the compression ratio achieved and the computational power consumed onboard a nanosatellite. For this purpose, the proposed method consists of various stages through which the image is passed. The paper describes the compression efficiency that is achieved using each stage and the subsequent hardware implementation to achieve desired data transfer rates. The proposed algorithm is easily implementable, tries to minimize the memory required onboard the satellite to judiciously use hardware resources, which are important factors for real time image compression on Nano-satellite systems. The algorithm is applied on a few images and the compression ratio obtained with each image is compared.
AB - This paper introduces a lossless image compression algorithm aimed at compressing thermal images captured, stored and transmitted by a Nano-satellite system. This algorithm is applied specifically to thermal grey scale images. The compression method used tries to achieve a balance between the compression ratio achieved and the computational power consumed onboard a nanosatellite. For this purpose, the proposed method consists of various stages through which the image is passed. The paper describes the compression efficiency that is achieved using each stage and the subsequent hardware implementation to achieve desired data transfer rates. The proposed algorithm is easily implementable, tries to minimize the memory required onboard the satellite to judiciously use hardware resources, which are important factors for real time image compression on Nano-satellite systems. The algorithm is applied on a few images and the compression ratio obtained with each image is compared.
UR - https://www.scopus.com/pages/publications/85021362809
UR - https://www.scopus.com/inward/citedby.url?scp=85021362809&partnerID=8YFLogxK
U2 - 10.1109/AERO.2017.7943682
DO - 10.1109/AERO.2017.7943682
M3 - Conference contribution
AN - SCOPUS:85021362809
T3 - IEEE Aerospace Conference Proceedings
BT - 2017 IEEE Aerospace Conference
PB - IEEE Computer Society
T2 - 2017 IEEE Aerospace Conference, AERO 2017
Y2 - 4 March 2017 through 11 March 2017
ER -