Image Watermarking Based on Adaptive Models of Human Visual Perception
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概要
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This paper proposes a digital image watermarking based on adaptive models of human visual perception. The algorithm exploits the local activities estimated from wavelet coefficients of each subband to adaptively control the luminance masking. The adaptive luminance is thus delicately combined with the contrast masking and edge detection and adopted as a visibility threshold. With the proposed combination of adaptive visual sensitivity parameters, the proposed perceptual model can be more appropriate to the different characteristics of various images. The weighting function is chosen such that the fidelity, imperceptibility and robustness could be preserved without making any perceptual difference to the image quality.
- 2010-09-01
著者
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Khawne Amnach
Department of Information Media Technology, School of Science and Technology, Tokai University
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Hamamoto Kazuhiko
Department of Information Media Technology, School of Science and Technology, Tokai University
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Chitsobhuk Orachat
School of Computer Engineering, Faculty of Engineering King Mongkuts Institute of Technology Ladkrab
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Hamamoto Kazuhiko
Department Of Communications Engineering Faculty Of Engineering Tokai University
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Hamamoto Kazuhiko
Department Of Information Media Technology School Of Science And Technology Tokai University
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Khawne Amnach
Department Of Information Media Technology School Of Science And Technology Tokai University
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Chitsobhuk Orachat
School Of Computer Engineering Faculty Of Engineering King Mongkut's Institute Of Technology Ladkrabang
関連論文
- Image Watermarking Based on Adaptive Models of Human Visual Perception
- Image Watermarking Based on Adaptive Models of Human Visual Perception
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