Compression of personal identification pictures using vector quantization with facial feature correction

Jian Hong Hu; Ru Shang Wang; Yao Wang

doi:10.1117/1.600878

Compression of personal identification pictures using vector quantization with facial feature correction

Jian Hong Hu, Ru Shang Wang, Yao Wang

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This paper describes a feature-correction two-stage vector quantization (FC2VQ) algorithm for the compression of photo ID pictures. The FC2VQ method treats different regions in a facial image differently. A region of facial features (ROFF), containing the eyes and the mouth, is detected and rendered more accurately than the rest of the image. The technique can compress a 128 ×128×8-bit (16,384 bytes total) ID image to an average size of 350 bytes. The quality of the compressed images is far superior to that obtained by other methods, including the JPEG standard, at similar compression ratios.

Original language	English (US)
Pages (from-to)	198-203
Number of pages	6
Journal	Optical Engineering
Volume	35
Issue number	1
DOIs	https://doi.org/10.1117/1.600878
State	Published - Jan 1996

Keywords

Facial feature detection
Facial image compression
Vector quantization
Visual communications and image processing

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/1.600878

Cite this

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AB - This paper describes a feature-correction two-stage vector quantization (FC2VQ) algorithm for the compression of photo ID pictures. The FC2VQ method treats different regions in a facial image differently. A region of facial features (ROFF), containing the eyes and the mouth, is detected and rendered more accurately than the rest of the image. The technique can compress a 128 ×128×8-bit (16,384 bytes total) ID image to an average size of 350 bytes. The quality of the compressed images is far superior to that obtained by other methods, including the JPEG standard, at similar compression ratios.

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Compression of personal identification pictures using vector quantization with facial feature correction

Abstract

Keywords

ASJC Scopus subject areas

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