A VQ-based image restoration algorithm

Ryo Nakagaki*, Aggelos K Katsaggelos

*Corresponding author for this work

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

4 Scopus citations


In this paper, we develop a novel VQ-based image restoration algorithm. The mapping between high frequency information in the original images and low frequency information in the corresponding degraded ones is established and stored in the VQ codebooks. Prototype images are used, which belong to the same class of images. During restoration, the high frequency information of a given degraded image is estimated from its low frequency information based on the designed codebook. To make the restoration process computationally efficient, the Principal Component Analysis (PCA) and VQ-Nearest Neighborhood approaches are utilized. Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
StatePublished - Jan 1 2002
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002


OtherInternational Conference on Image Processing (ICIP'02)
Country/TerritoryUnited States
CityRochester, NY

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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