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Journal of Information Science and Engineering, Vol. 23 No. 6, pp. 1785-1800 (November 2007)

Multiple Description Watermarking Based on Quantization Index Modulus Modulation*

Miin-Luen Day+,1, Suh-Yin Lee+ and I-Chang Jou2
+Department of Computer Science and Information Engineering
National Chiao Tung University
Hsinchu, 300 Taiwan
1Telecommunication Laboratory
Chunghwa Telecom Co., Ltd.
Chungli, 320 Taiwan
2Department of Computer and Communication Engineering
National Kaohsiung First University of Science and Technology
Kaohsiung, 811 Taiwan

In this paper, we study the problem of watermarking for error-prone transmission over unreliable network. We try to integrate an oblivious quantization index modulus modulation (QIMM) watermarking technique into the multiple description coding (MDC) framework and we call it multiple description watermarking technique (MDW). It is known that the balanced MDC encodes a signal source into multiple bitstreams (descriptions) of equal importance and equal data rate. Consider a traditional two-description case in a packet transmission network. The computation for watermark embedding is performed using either description. Once chosen, the corresponding values to be modulated for the other description are assigned with the same values as the just watermarked description. In the detection process, the embedded watermark could be extracted no matter either one or both descriptions are received. That is to say, the watermark is still detectable from MDW even with 50% packet loss. Furthermore, in the case of 50% packet loss, the resulting watermark from MDW is still robust to a variety of image processing attacks, including DCT based compression (JPEG), DWT based compression (JPEG-2000), Gaussian filtering, sharpening and median filtering. The experimental results confirmed the competitive performance and the effectiveness of the proposed scheme.

Keywords: error-prone, multiple description, watermarking, QIMM, MDW

Full Text () Retrieve PDF document (200711_09.pdf)

Received September 22, 2005; revised January 9 & March 9, 2006; accepted April 10, 2006.
Communicated by Pau-Choo Chung.
*Part of the paper has been presented in the 14th CVGIP Conference on Computer Vision, Graphics and Image Processing.