Paper
8 March 2018 Image-adaptive and robust digital wavelet-domain watermarking for images
Author Affiliations +
Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 106110Z (2018) https://doi.org/10.1117/12.2283115
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
Abstract
We propose a new frequency domain wavelet based watermarking technique. The key idea of our scheme is twofold: multi-tier solution representation of image and odd-even quantization embedding/extracting watermark. Because many complementary watermarks need to be hidden, the watermark image designed is image-adaptive. The meaningful and complementary watermark images was embedded into the original image (host image) by odd-even quantization modifying coefficients, which was selected from the detail wavelet coefficients of the original image, if their magnitudes are larger than their corresponding Just Noticeable Difference thresholds. The tests show good robustness against best-known attacks such as noise addition, image compression, median filtering, clipping as well as geometric transforms. Further research may improve the performance by refining JND thresholds.
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Yi Zhao and Liping Zhang "Image-adaptive and robust digital wavelet-domain watermarking for images", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106110Z (8 March 2018); https://doi.org/10.1117/12.2283115
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KEYWORDS
Digital watermarking

Discrete wavelet transforms

Wavelets

Image processing

Quantization

Image filtering

Image compression

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