文件名称:Semi-Supervised-Distance-Metric-Learning-for-Coll
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Watermarking embeds information into a digital signal like
audio, image, or video. Reversible image watermarking can restore the
original image without any distortion after the hidden data is extracted.
In this paper, we present a novel reversible watermarking scheme using
an interpolation technique, which can embed a large amount of covert
data into images with imperceptible modification. Different from previous
watermarking schemes, we utilize the interpolation-error, the difference
between interpolation value and corresponding pixel value
audio, image, or video. Reversible image watermarking can restore the
original image without any distortion after the hidden data is extracted.
In this paper, we present a novel reversible watermarking scheme using
an interpolation technique, which can embed a large amount of covert
data into images with imperceptible modification. Different from previous
watermarking schemes, we utilize the interpolation-error, the difference
between interpolation value and corresponding pixel value
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Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval.pdf
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