Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Motivation
- 2 Book overview
- 3 Principles of lossless compression
- 4 Entropy coding techniques
- 5 Lossy compression of scalar sources
- 6 Coding of sources with memory
- 7 Mathematical transformations
- 8 Rate control in transform coding systems
- 9 Transform coding systems
- 10 Set partition coding
- 11 Subband/wavelet coding systems
- 12 Methods for lossless compression of images
- 13 Color and multi-component image and video coding
- 14 Distributed source coding
- Index
- References
8 - Rate control in transform coding systems
Published online by Cambridge University Press: 05 June 2012
Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Motivation
- 2 Book overview
- 3 Principles of lossless compression
- 4 Entropy coding techniques
- 5 Lossy compression of scalar sources
- 6 Coding of sources with memory
- 7 Mathematical transformations
- 8 Rate control in transform coding systems
- 9 Transform coding systems
- 10 Set partition coding
- 11 Subband/wavelet coding systems
- 12 Methods for lossless compression of images
- 13 Color and multi-component image and video coding
- 14 Distributed source coding
- Index
- References
Summary
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- Information
- Digital Signal CompressionPrinciples and Practice, pp. 218 - 244Publisher: Cambridge University PressPrint publication year: 2011
References
1. , Introduction to Matrix Analysis, 2nd edn. New York, NY: McGraw-Hill Publishing Co., 1970.Google Scholar
2. , “On optimum quantization,” IEEE Trans. Inf. Theory, vol. IT-15, no. 2, pp. 248–252, Mar. 1969.CrossRefGoogle Scholar
and , “Multiple-rate structured vector quantization of image pyramids,” J. Visual Commun. Image Represent, vol. 2, no. 2, pp. 103–113, Jan. 1991.CrossRefGoogle Scholar
, “Performance bounds for subband coding,” in Subband Image Coding, ed. . Norwell, MA: Kluwer Academic Publishers. 1991, ch. 1.Google Scholar
, “Information theory and image coding,” in Handbook of Visual Communications, eds. and . San Diego, CA: Academic Press. 1995, ch. 2.Google Scholar
and , “On entropy of pyramid structures,” IEEE Trans. Inf. Theory, vol. 37, no. 2, pp. 407–413, Mar. 1991.CrossRefGoogle Scholar
and , “Analysis of linear prediction, coding, and spectral estimation from subbands,” IEEE Trans. Inf. Theory, vol. 42, no. 4, pp. 1160–1178, Jul. 1996.CrossRefGoogle Scholar
, “Optimal bit allocation via the generalized BFOS algorithm,” IEEE Trans. Inf. Theory, vol. 37, no. 2, pp. 400–402, Mar. 1991.CrossRefGoogle Scholar
and , “Efficient bit allocation for an arbitrary set of quantizers,” IEEE Trans. Acoust. Speech Signal Process., vol. 36, no. 9, pp. 1445–1453, Sept. 1988.CrossRefGoogle Scholar
and , “Coding gain in paraunitary analysis/synthesis systems,” IEEE Trans. Signal Process., vol. 5, no. 41, pp. 1824–1835, Ma. 1993.CrossRefGoogle Scholar
and , JPEG2000: Image Compression Fundamentals, Standards, and Practice. Norwell, MA: Kluwer Academic Publishers. 2002.CrossRefGoogle Scholar
and , “A filter based bit allocation scheme for subband compression of HDTV,” IEEE Trans. Image Process., vol. 1, no. 3, pp. 436–440, Jul. 1992.CrossRefGoogle ScholarPubMed
and , “Subband coding of images,” IEEE Trans. Acoust. Speech Signal Process., vol. 34, no. 5, pp. 1278–1288, Oct. 1986.CrossRefGoogle Scholar