In the field of image watermarking, research has been mainly focused on grey scale image watermarking; the extension to the color case still represents one of the open issues watermarking researchers are facing with. To solve the problem of the correlation among image color bands, a new approach is proposed here which is based on the exploitation of the decorrelation property of the Karhunen-Loeve Transform (KLT). The KLT is applied to the RGB components of the host image, then watermarking is performed independently in the DFT domain of the KL-transformed bands. In order to preserve watermark invisibility, embedding is achieved by modifying the magnitude of mid-frequency DFT coefficients according to an additive-multiplicative rule. In detection, KL decorrelation is exploited to design an optimum watermark decoder. In particular, basing on the Neyman-Pearson criterion, the watermark presence is revealed by comparing a likelihood function against a threshold. Experimental results are presented proving the robustness of the algorithm against the most common image manipulations, and its superior performance with respect to techniques based on luminance watermarking.

Barni, M., Bartolini, F., DE ROSA, A., Piva, A. (2002). Color image watermarking in the Karhunen-Loeve transform domain. JOURNAL OF ELECTRONIC IMAGING, 11(1), 87-95 [10.1117/1.1426383].

Color image watermarking in the Karhunen-Loeve transform domain

BARNI, MAURO;
2002-01-01

Abstract

In the field of image watermarking, research has been mainly focused on grey scale image watermarking; the extension to the color case still represents one of the open issues watermarking researchers are facing with. To solve the problem of the correlation among image color bands, a new approach is proposed here which is based on the exploitation of the decorrelation property of the Karhunen-Loeve Transform (KLT). The KLT is applied to the RGB components of the host image, then watermarking is performed independently in the DFT domain of the KL-transformed bands. In order to preserve watermark invisibility, embedding is achieved by modifying the magnitude of mid-frequency DFT coefficients according to an additive-multiplicative rule. In detection, KL decorrelation is exploited to design an optimum watermark decoder. In particular, basing on the Neyman-Pearson criterion, the watermark presence is revealed by comparing a likelihood function against a threshold. Experimental results are presented proving the robustness of the algorithm against the most common image manipulations, and its superior performance with respect to techniques based on luminance watermarking.
2002
Barni, M., Bartolini, F., DE ROSA, A., Piva, A. (2002). Color image watermarking in the Karhunen-Loeve transform domain. JOURNAL OF ELECTRONIC IMAGING, 11(1), 87-95 [10.1117/1.1426383].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/34516
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