中国邮电高校学报(英文) ›› 2010, Vol. 17 ›› Issue (1): 62-66.doi: 10.1016/S1005-8885(09)60425-8

• Artificial Intelligence • 上一篇    下一篇

Performance analysis of sign quantized projection

叶天语、马兆丰、钮心忻、杨义先   

  1. 1. Information Security Center, State Key Laboratory of Networking and Switching Technology,
    Beijing University of Posts and Telecommunications, Beijing 100876, China
    2. Key Laboratory of Network and Information Attack and Defense Technology of MOE,
    Beijing University of Posts and Telecommunications, Beijing 100876, China
    3. National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876, China
  • 收稿日期:2009-03-12 修回日期:1900-01-01 出版日期:2010-02-28
  • 通讯作者: 叶天语

Performance analysis of sign quantized projection

YE Tian-yu, NIU Xin-xin, MA Zhao-feng, YANG Yi-xian   

  1. 1. Information Security Center, State Key Laboratory of Networking and Switching Technology,
    Beijing University of Posts and Telecommunications, Beijing 100876, China
    2. Key Laboratory of Network and Information Attack and Defense Technology of MOE,
    Beijing University of Posts and Telecommunications, Beijing 100876, China
    3. National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876, China
  • Received:2009-03-12 Revised:1900-01-01 Online:2010-02-28
  • Contact: YE Tian-yu

摘要:

Quantized projection technology (QP) is the version of quantization index modulation (QIM) working in the projection domain. It essentially belongs to a double-sided additive embedder. In this article, the concept of sign quantized projection (SQP) is proposed, which differs from the conventional QP when working as a single-sided embedder. Theoretical analysis reveals that SQP has the same probability of miss and probability of false alarm as QP. Also, the document-to-watermark ratio (DWR) of SQP is less than its counterpart of QP by dB.Quantized projection technology (QP) is the version of quantization index modulation (QIM) working in the projection domain. It essentially belongs to a double-sided additive embedder. In this article, the concept of sign quantized projection (SQP) is proposed, which differs from the conventional QP when working as a single-sided embedder. Theoretical analysis reveals that SQP has the same probability of miss and probability of false alarm as QP. Also, the document-to-watermark ratio (DWR) of SQP is less than its counterpart of QP by dB.Quantized projection technology (QP) is the version of quantization index modulation (QIM) working in the projection domain. It essentially belongs to a double-sided additive embedder. In this article, the concept of sign quantized projection (SQP) is proposed, which differs from the conventional QP when working as a single-sided embedder. Theoretical analysis reveals that SQP has the same probability of miss and probability of false alarm as QP. Also, the document-to-watermark ratio (DWR) of SQP is less than its counterpart of QP by dB.Quantized projection technology (QP) is the version of quantization index modulation (QIM) working in the projection domain. It essentially belongs to a double-sided additive embedder. In this article, the concept of sign quantized projection (SQP) is proposed, which differs from the conventional QP when working as a single-sided embedder. Theoretical analysis reveals that SQP has the same probability of miss and probability of false alarm as QP. Also, the document-to-watermark ratio (DWR) of SQP is less than its counterpart of QP by dB.

关键词:

DWR,;QP,;SQP

Abstract:

Quantized projection technology (QP) is the version of quantization index modulation (QIM) working in the projection domain. It essentially belongs to a double-sided additive embedder. In this article, the concept of sign quantized projection (SQP) is proposed, which differs from the conventional QP when working as a single-sided embedder. Theoretical analysis reveals that SQP has the same probability of miss and probability of false alarm as QP. Also, the document-to-watermark ratio (DWR) of SQP is less than its counterpart of QP by dB.

Key words:

DWR;QP;SQP