Wavelet coding of images using trellis-coded quantization

Parthasarathy Sriram, Michael W Marcellin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The discrete wavelet transform has recently emerged as a powerful technique for decomposing images into various multiresolution approximations. An image is decomposed into a sequence of orthogonal components, the first being an approximation of the original image at some 'base' resolution. By the addition of successive (orthogonal) 'error' images, approximations of higher resolution are obtained. Trellis coded quantization (TCQ) is known as an effective scheme for quantizing memoryless sources with low to moderate complexity. The TCQ approach to data compression has led to some of the most effective source codes found to date for memoryless sources. In this work, we investigate the use of entropy-constrained TCQ for encoding wavelet coefficients at different bit rates. The lowest-resolution sub-image is quantized using a 2-D discrete cosine transform encoder. For encoding the 512 × 512, 8- bit, monochrome 'Lenna' image, a PSNR of 39.00 dB is obtained at an average bit rate of 0.89 bits/pixel.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages238-247
Number of pages10
Volume1705
ISBN (Print)0819408700
StatePublished - 1992
EventVisual Information Processing - Orlando, FL, USA
Duration: Apr 20 1992Apr 22 1992

Other

OtherVisual Information Processing
CityOrlando, FL, USA
Period4/20/924/22/92

Fingerprint

coding
Discrete cosine transforms
Discrete wavelet transforms
Data compression
approximation
Entropy
discrete cosine transform
data compression
Pixels
coders
wavelet analysis
pixels
entropy
high resolution
coefficients

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Sriram, P., & Marcellin, M. W. (1992). Wavelet coding of images using trellis-coded quantization. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 1705, pp. 238-247). Publ by Int Soc for Optical Engineering.

Wavelet coding of images using trellis-coded quantization. / Sriram, Parthasarathy; Marcellin, Michael W.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 1705 Publ by Int Soc for Optical Engineering, 1992. p. 238-247.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sriram, P & Marcellin, MW 1992, Wavelet coding of images using trellis-coded quantization. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 1705, Publ by Int Soc for Optical Engineering, pp. 238-247, Visual Information Processing, Orlando, FL, USA, 4/20/92.
Sriram P, Marcellin MW. Wavelet coding of images using trellis-coded quantization. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 1705. Publ by Int Soc for Optical Engineering. 1992. p. 238-247
Sriram, Parthasarathy ; Marcellin, Michael W. / Wavelet coding of images using trellis-coded quantization. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 1705 Publ by Int Soc for Optical Engineering, 1992. pp. 238-247
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