Lapped nonlinear interpolative vector quantization and image super-resolution

David G. Sheppard, Kannan Panchapakesan, Ali Bilgin, Bobby R. Hunt, Michael W Marcellin

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

Abstract

This paper presents an improved version of an algorithm designed to perform image restoration via non-linear interpolative vector quantization (NLIVQ). The improvement results from using lapped blocks during the encoding process. The algorithm is trained on original and diffraction-limited image pairs. The discrete cosine transform is used in the codebook design process to control complexity. Simulation results are presented which demonstrate improvements over the non-lapped algorithm in both observed image quality and peak signal-to-noise ratio. In addition, the non-linearity of the algorithm is shown to produce super-resolution in the restored images.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
EditorsM.P. Farques, R.D. Hippenstiel
PublisherIEEE Comp Soc
Pages224-228
Number of pages5
Volume1
StatePublished - 1998
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 2 1997Nov 5 1997

Other

OtherProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2)
CityPacific Grove, CA, USA
Period11/2/9711/5/97

Fingerprint

Vector quantization
Discrete cosine transforms
Image reconstruction
Image quality
Signal to noise ratio
Diffraction

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Sheppard, D. G., Panchapakesan, K., Bilgin, A., Hunt, B. R., & Marcellin, M. W. (1998). Lapped nonlinear interpolative vector quantization and image super-resolution. In M. P. Farques, & R. D. Hippenstiel (Eds.), Conference Record of the Asilomar Conference on Signals, Systems and Computers (Vol. 1, pp. 224-228). IEEE Comp Soc.

Lapped nonlinear interpolative vector quantization and image super-resolution. / Sheppard, David G.; Panchapakesan, Kannan; Bilgin, Ali; Hunt, Bobby R.; Marcellin, Michael W.

Conference Record of the Asilomar Conference on Signals, Systems and Computers. ed. / M.P. Farques; R.D. Hippenstiel. Vol. 1 IEEE Comp Soc, 1998. p. 224-228.

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

Sheppard, DG, Panchapakesan, K, Bilgin, A, Hunt, BR & Marcellin, MW 1998, Lapped nonlinear interpolative vector quantization and image super-resolution. in MP Farques & RD Hippenstiel (eds), Conference Record of the Asilomar Conference on Signals, Systems and Computers. vol. 1, IEEE Comp Soc, pp. 224-228, Proceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2), Pacific Grove, CA, USA, 11/2/97.
Sheppard DG, Panchapakesan K, Bilgin A, Hunt BR, Marcellin MW. Lapped nonlinear interpolative vector quantization and image super-resolution. In Farques MP, Hippenstiel RD, editors, Conference Record of the Asilomar Conference on Signals, Systems and Computers. Vol. 1. IEEE Comp Soc. 1998. p. 224-228
Sheppard, David G. ; Panchapakesan, Kannan ; Bilgin, Ali ; Hunt, Bobby R. ; Marcellin, Michael W. / Lapped nonlinear interpolative vector quantization and image super-resolution. Conference Record of the Asilomar Conference on Signals, Systems and Computers. editor / M.P. Farques ; R.D. Hippenstiel. Vol. 1 IEEE Comp Soc, 1998. pp. 224-228
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