Wavelet transform coding using NIVQ

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Discrete wavelet transform is an ideal tool for multi-resolution representation of image signals. Some promising results have been recently reported on the application of wavelet transform for image compression. In this paper, we propose a new wavelet coding technique for image compression. The proposed scheme has the advantages of improved coding performance and reduced computational complexity. The input image is first decomposed into a pyramid structure with three layers using 2-D wavelet transform. A block size of 2m - 3 (m=1, 2, 3) is used for each orientation sub-image at the m-th layer to form 64-D vectors by combining the corresponding blocks in all the sub-images. The 64-D vectors are then encoded using 16-D non-linear interpolative vector quantization (NIVQ). At the decoder, the indices are used to reconstrucL the 64-D vectors directly from a 64-D codebook designed using a non-linear interpolative technIue. The proposed scheme not only exploits the correlation among the wavelet sub-images but also preserves the high frequency sub-images. Simulation results show that the reconstructed image of a superior quality can be obtained at a compression ratio of about 100:1.

Original languageEnglish (US)
Pages (from-to)999-1009
Number of pages11
JournalUnknown Journal
Volume2094
DOIs
StatePublished - 1993
Externally publishedYes

Fingerprint

Transform Coding
Wavelet Analysis
vector quantization
Vector Quantization
Vector quantization
wavelet analysis
Data Compression
Wavelet transforms
Wavelet Transform
coding
Image compression
Discrete wavelet transforms
Image Compression
Computational complexity
Wavelets
Coding
Codebook
Pyramid
Multiresolution
compression ratio

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Wavelet transform coding using NIVQ. / Wang, Xiping; Panchanathan, Sethuraman.

In: Unknown Journal, Vol. 2094, 1993, p. 999-1009.

Research output: Contribution to journalArticle

Wang, Xiping ; Panchanathan, Sethuraman. / Wavelet transform coding using NIVQ. In: Unknown Journal. 1993 ; Vol. 2094. pp. 999-1009.
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