Image analysis – Applications
Reexamination Certificate
2007-11-06
2007-11-06
Azarian, Seyed (Department: 2624)
Image analysis
Applications
C382S251000, C380S201000
Reexamination Certificate
active
10778552
ABSTRACT:
The present invention relates to a method for blindly embedding and extracting a watermark by using wavelet transform and a human visual system (HVS) model, which obtains both robustness and invisibility by applying the HVS model of NVF or JND imitating a human visual system to a middle frequency band for wavelet transformation and using a quantization step determined adaptively according to the importance of wavelet coefficient. A method according to the present invention includes the steps of: decomposing an original image by a wavelet and selecting a middle frequency band as a watermark embedment area; obtaining an HVS model having a human visual recognition information at each embedding position; determining the importance of the coefficient for each embedding position, and adaptively determining a quantization step for each embedment location by using the importance and the HVS model; quantizing each pair of embedment area by the quantization step and variably embedding a watermark sequence into a middle frequency band according to a value of the watermark; and performing inverse wavelet transform on an overall area into which the watermark sequence is embedded, and generating a watermarked image.
REFERENCES:
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Ming-Shing Hsieh, et al.; Hiding Digital Watermarks Using Mulltiresolution Wavelet Transform; IEEE Transactions on Industrial Electronics; vol. 48, No. 5; Oct. 2001; pp. 875-882.
Joo Sanghyun
Lee Seon Hwa
Suh Young Ho
Azarian Seyed
Electronics and Telecommunications Research Institute
Lowe Hauptman & Ham & Berner, LLP
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