Onboard optimized hardware implementation of JPEG-LS encoder based on FPGA

Wen Wei; Jie Lei; Yunsong Li

doi:10.1117/12.930869

19 October 2012 Onboard optimized hardware implementation of JPEG-LS encoder based on FPGA

Wen Wei, Jie Lei, Yunsong Li

Proceedings Volume 8514, Satellite Data Compression, Communications, and Processing VIII; 851406 (2012) https://doi.org/10.1117/12.930869
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

A novel hardware implementation of JPEG-LS Encoder based on FPGA is introduced in this paper. Using a look-ahead technique, the critical delay paths of LOCO-I algorithm, such as feedback-loop circuit of parameters updating, are improved. Then an optimized architecture of JPEG-LS Encoder is proposed. Especially, run-mode encode process of JPEG-LS is covered in the architecture as well. Experiment results show that the circuit complexity and memory consumption of the proposed structure are much lower, while the data processing speed is much higher than some other available structures. So it is very suited for applying high-speed lossless compression of satellite sensing image onboard.

Citation Download Citation

Wen Wei, Jie Lei, and Yunsong Li "Onboard optimized hardware implementation of JPEG-LS encoder based on FPGA", Proc. SPIE 8514, Satellite Data Compression, Communications, and Processing VIII, 851406 (19 October 2012); https://doi.org/10.1117/12.930869

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available