Compression of color facial images using feature correction two-stage vector quantization

Jincheng Huang, Yao Wang

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

Abstract

A Feature Correction Two Stage Vector Quantization (FC2VQ) algorithm was previously developed to compress gray-scale photo ID pictures. This algorithm is extended to color images in this paper. Two options are compared, which apply the FC2VQ algorithm in RGB and YCbCr color spaces, respectively. The RGB-FC2VQ algorithm is found to yield better image quality than YCbCr-FC2VQ at similar bitrate. With the RGB-FC2VQ algorithm, an 128×128 24-bit color ID image (49,152 bytes) can be compressed down to 500 bytes with satisfactory quality.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Editors Anon
PublisherIEEE
Pages1249-1252
Number of pages4
Volume2
StatePublished - 1997
EventProceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4) - Hong Kong, Hong Kong
Duration: Jun 9 1997Jun 12 1997

Other

OtherProceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4)
CityHong Kong, Hong Kong
Period6/9/976/12/97

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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  • Cite this

    Huang, J., & Wang, Y. (1997). Compression of color facial images using feature correction two-stage vector quantization. In Anon (Ed.), Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 2, pp. 1249-1252). IEEE.