9 April 1999 Selective block assignment approach for robust digital image watermarking
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Proceedings Volume 3657, Security and Watermarking of Multimedia Contents; (1999); doi: 10.1117/12.344668
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
Digital watermark is used to protect digital image against any illegal reproduction and tampering. In the selective block assignment process, the image is divided into N X N pixel blocks and each block is Discrete Cosine Transformed (DCT). The set of blocks will be then selectively chosen to encode the copyright message. Each selective block will be incremented by a value, in order to maintain the invisibility of the watermarking image, the incremented value should be within a range. The selection of blocks is based on measurement of the content. Depends on the amount of messages stored and the signal to noise ratio (SNR) of the resultant image required, a threshold is decided. In practice, the threshold will be set such that the duplicated message or an error correction mechanism can also be included in order to increase its robustness. The decoding process should be carried out by using the threshold values to get back the locations that have watermark information. Then the watermarked image is subtracted from the original image to obtain the secret data. Simulation results show that the watermarked image looks visually identical to the original and with an SNR of 44.7 dB for Lenna and with SNR 43 dB for airplane with size 256 X 256 pixels.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kam-Shing Ng, Lee Ming Cheng, "Selective block assignment approach for robust digital image watermarking", Proc. SPIE 3657, Security and Watermarking of Multimedia Contents, (9 April 1999); doi: 10.1117/12.344668; http://dx.doi.org/10.1117/12.344668
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KEYWORDS
Digital watermarking

Signal to noise ratio

Image processing

Image compression

Digital imaging

Image retrieval

Visualization

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