Color PCA eigenimages and their application to compression and watermarking
Image and Vision Computing
Color-image watermarking using multivariate power- exponential distribution
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A perceptually tuned watermarking scheme for color images
IEEE Transactions on Image Processing
Color image watermarking algorithm using BPN neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Using space-time coding for watermarking color images
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
A new approach to camera image indexing
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
A robust method for data hiding in color images
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
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In the field of image watermarking, research has been mainly focused on grayscale image watermarking, whereas the extension to the color case is usually accomplished by marking the image luminance, or by processing each color channel separately. A DCT domain watermarking technique expressly designed to exploit the peculiarities of color images is presented. The watermark is hidden within the data by modifying a subset of full-frame DCT coefficients of each color channel. Detection is based on a global correlation measure which is computed by taking into account the information conveyed by the three color channels as well as their interdependency. To ultimately decide whether or not the image contains the watermark, the correlation value is compared to a threshold. With respect to existing grayscale algorithms, a new approach to threshold selection is proposed, which permits reducing the probability of missed detection to a minimum, while ensuring a given false detection probability. Experimental results, as well as theoretical analysis, are presented to demonstrate the validity of the new approach with respect to algorithms operating on image luminance only