JPEG Quantization Table Design for Face Images and Its Application to Face Recognition
Summary :
This paper proposes a new codec design method based on JPEG for face images and presents its application to face recognition. Quantization table is designed using the R-D optimization for the Yale face database. In order to use in the embedded systems, fast codec design is also considered. The proposed codec achieves better compression rates than JPEG codec for face images. In face recognition experiments using the linear discriminant analysis (LDA), the proposed codec shows better performance than JPEG codec.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.11 pp.2990-2993
- Publication Date
- 2006/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.11.2990
- Type of Manuscript
- Special Section LETTER (Special Section on Image Media Quality)
- Category
Authors
Keyword
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Gu-Min JEONG, Chunghoon KIM, Hyun-Sik AHN, Bong-Ju AHN, "JPEG Quantization Table Design for Face Images and Its Application to Face Recognition" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 11, pp. 2990-2993, November 2006, doi: 10.1093/ietfec/e89-a.11.2990.
Abstract: This paper proposes a new codec design method based on JPEG for face images and presents its application to face recognition. Quantization table is designed using the R-D optimization for the Yale face database. In order to use in the embedded systems, fast codec design is also considered. The proposed codec achieves better compression rates than JPEG codec for face images. In face recognition experiments using the linear discriminant analysis (LDA), the proposed codec shows better performance than JPEG codec.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.11.2990/_p
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@ARTICLE{e89-a_11_2990,
author={Gu-Min JEONG, Chunghoon KIM, Hyun-Sik AHN, Bong-Ju AHN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={JPEG Quantization Table Design for Face Images and Its Application to Face Recognition},
year={2006},
volume={E89-A},
number={11},
pages={2990-2993},
abstract={This paper proposes a new codec design method based on JPEG for face images and presents its application to face recognition. Quantization table is designed using the R-D optimization for the Yale face database. In order to use in the embedded systems, fast codec design is also considered. The proposed codec achieves better compression rates than JPEG codec for face images. In face recognition experiments using the linear discriminant analysis (LDA), the proposed codec shows better performance than JPEG codec.},
keywords={},
doi={10.1093/ietfec/e89-a.11.2990},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - JPEG Quantization Table Design for Face Images and Its Application to Face Recognition
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2990
EP - 2993
AU - Gu-Min JEONG
AU - Chunghoon KIM
AU - Hyun-Sik AHN
AU - Bong-Ju AHN
PY - 2006
DO - 10.1093/ietfec/e89-a.11.2990
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2006
AB - This paper proposes a new codec design method based on JPEG for face images and presents its application to face recognition. Quantization table is designed using the R-D optimization for the Yale face database. In order to use in the embedded systems, fast codec design is also considered. The proposed codec achieves better compression rates than JPEG codec for face images. In face recognition experiments using the linear discriminant analysis (LDA), the proposed codec shows better performance than JPEG codec.
ER -
English
