JPEG Quantization Table Design for Face Images and Its Application to Face Recognition(<Special Section>Image Media Quality)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2006-11-01

著者

• JEONG Gu-Min

  School of Electrical Engineering, Kookmin University

• Jeong Gu-min

  School Of Electrical Engineering Kookmin University

• Ahn Bong-ju

  School Of Electrical Engineering Kookmin University

• AHN Hyun-Sik

  School of Electrical Engineering, Kookmin University

• Ahn Hyun-sik

  School Of Electrical Engineering Kookmin University

• KIM Chunghoon

  School of Electrical Engineering and Computer Science, Seoul National University

• Kim Chunghoon

  School Of Electrical Engineering And Computer Science Seoul National University

• Ahn Hyun‐sik

  Kookmin Univ. Kor

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• JPEG Quantization Table Design for Face Images and Its Application to Face Recognition(Image Media Quality)
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