Abstract
Recent years have seen an explosion in the availability of digital images. In this chapter, we examine some current image compression standards and demonstrate how techniques presented in Chaps. 7 and 8 are applied in practice. We first describe how transform coding based on DCT (Discrete Cosine Transform), quantization, and entropy coding are explored in the standard JPEG, used in most images, then go on to look at the wavelet-based JPEG2000 standard. Two other standards, JPEG-LS—aimed particularly at a lossless JPEG, outside the main JPEG standard—and JBIG, for bilevel image compression, are included for completeness.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
The JPEG standard allows both Huffman coding and Arithmetic coding; both are entropy coding methods. It also supports both 8-bit and 12-bit pixel sizes.
References
W.B. Pennebaker, J.L. Mitchell, The JPEG Still Image Data Compression Standard (Van Nostrand Reinhold, New York, 1992)
V. Bhaskaran, K. Konstantinides, Image and Video Compression Standards: Algorithms and Architectures, 2nd edn. (Kluwer Academic Publishers, Boston, 1997)
ISO/IEC 15444–1, Information Technology - JPEG 2000 Image Coding System: Core Coding System. ISO/IEC, (2004)
D.S. Taubman, M.W. Marcellin, JPEG2000: Image Compression Fundamentals (Kluwer Academic Publishers, Standards and Practice, 2002)
M. Rabbani, R. Joshi, An Overview of the JPEG 2000 Still Image Compression Standard. Signal Processing: Image Communication 17, 3–48 (2002)
P. Schelkens, A. Skodras, T. Ebrahimi (eds.). The JPEG 2000 Suite. (Wiley, 2009)
D. Taubman, High performance scalable image compression with EBCOT. IEEE Trans. Image Process. 9(7), 1158–1170 (2000)
K. Ramachandran, M. Vetterli, Best wavelet packet basis in a rate-distortion sense. IEEE Trans. Image Process. 2, 160–173 (1993)
I. Ueno, F. Ono, T. Yanagiya, T. Kimura, M. Yoshida. Proposal of the Arithmetic Coder for JPEG2000. ISO/IEC JTC1/SC29/WG1 N1143, (1999)
D. Santa-Cruz, R. Grosbois, T. Ebrahimi, JPEG 2000 Performance Evaluation and Assessment. Signal Process.: Image Commun. 17, 113–130 (2002)
M. Weinberger, G. Seroussi, G. Sapiro, The LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS. Technical Report HPL-98-193R1, Hewlett-Packard Technical Report, (1998)
N. Merhav, G. Seroussi, M.J. Weinberger, Optimal prefix codes for sources with two-sided geometric distributions. IEEE Trans. on Inf. Theory 46(1), 121–135 (2000)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Li, ZN., Drew, M.S., Liu, J. (2014). Image Compression Standards. In: Fundamentals of Multimedia. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-05290-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-05290-8_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05289-2
Online ISBN: 978-3-319-05290-8
eBook Packages: Computer ScienceComputer Science (R0)