標題: Robust multirate lattice quantization index modulation watermarking resilient to multiple description transmission channel
作者: Day, Miin-Luen
Lee, Suh-Yin
Jou, I-Chang
資訊工程學系
Department of Computer Science
關鍵字: watermarking;multiple description;multirate lattice quantization index modulation
公開日期: 1-Mar-2007
摘要: Multiple-description (MD) transmission results in nonlinear value-metric (value-scaling) distortion in the case when some of the sent descriptions are not received. An acceptable image can still be received in the above situation due to the characteristic of MD. However, it is quite damaging to the traditional quantization-based watermarking technique for payload detection. To overcome the problem, a straightforward approach would be to increase the quantization step size in watermark embedding so as to keep the distortion within the tolerant range. However, as a larger quantization step size in watermark embedding would result in a worsened watermarked image, it is not feasible to adopt it without further consideration. The proposed multirate lattice quantization index modulation (MRL-QIM) encodes two watermark bits into each of the four co-set points of a lattice (so-called multirate). Compared to traditional vector-based quantization encoding or combined spread spectrum-quantization encoding, it significantly increases the payload (capacity) and enhances the robustness of watermark detection while preserving the fidelity of the watermarked image. Comprehensive experiments have confirmed that the overall performance and the effectiveness of the proposed scheme are superior to previous approaches. (C) 2007 Society of Photo-Optical Instrumentation Engineers.
URI: http://dx.doi.org/10.1117/1.2715597
http://hdl.handle.net/11536/11056
ISSN: 0091-3286
DOI: 10.1117/1.2715597
期刊: OPTICAL ENGINEERING
Volume: 46
Issue: 3
結束頁: 
Appears in Collections:Articles


Files in This Item:

  1. 000246351400034.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.