TY - GEN
T1 - A Fast and Effective Golomb Code with Asymmetric Numerical System
AU - Liu, Shumin
AU - Chen, Jie
AU - Pang, Lim Keng
AU - Rahardja, Susanto
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper presents the Golomb-ANS code, an advanced coding scheme that combines Golomb coding with the asymmetric numerical system (ANS). Golomb code is known for its computational simplicity, while ANS is recognized for its coding efficiency. The Golomb-ANS code capitalizes on the advantages of both methods to create an innovative encoding solution. The main breakthrough lies in utilizing Golomb code's distinctive property, where the probability of encountering a '0' in the suffix remains stable under a specific distribution. This characteristic simplifies the ANS component of Golomb-ANS into a finite state machine, significantly reducing coding complexity. To illustrate the practical benefits of Golomb-ANS, experiments were conducted by replacing Golomb-Rice code with Golomb-ANS in the JPEG-LS and CCSDS 123.0.B image compression standards. The results demonstrated substantial improvements in average compression ratios, with increases of 0.641 % for JPEG-LS and 1.017% for CCSDS 123.0.B.
AB - This paper presents the Golomb-ANS code, an advanced coding scheme that combines Golomb coding with the asymmetric numerical system (ANS). Golomb code is known for its computational simplicity, while ANS is recognized for its coding efficiency. The Golomb-ANS code capitalizes on the advantages of both methods to create an innovative encoding solution. The main breakthrough lies in utilizing Golomb code's distinctive property, where the probability of encountering a '0' in the suffix remains stable under a specific distribution. This characteristic simplifies the ANS component of Golomb-ANS into a finite state machine, significantly reducing coding complexity. To illustrate the practical benefits of Golomb-ANS, experiments were conducted by replacing Golomb-Rice code with Golomb-ANS in the JPEG-LS and CCSDS 123.0.B image compression standards. The results demonstrated substantial improvements in average compression ratios, with increases of 0.641 % for JPEG-LS and 1.017% for CCSDS 123.0.B.
KW - asymmetric numerical system
KW - finite state machine
KW - Golomb code
UR - http://www.scopus.com/inward/record.url?scp=85214944533&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC62635.2024.10770326
DO - 10.1109/ICSPCC62635.2024.10770326
M3 - 会议稿件
AN - SCOPUS:85214944533
T3 - 2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
BT - 2024 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
Y2 - 19 August 2024 through 22 August 2024
ER -