IBM Systems Journal
Blind Watermarking Algorithm Using Complex Block Selection Method
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A multiresolution watermark for digital images
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
IEEE Transactions on Information Theory
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Securing fingerprint images using a hybrid technique
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
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This paper proposes a new watermarking scheme in which a logo watermark is embedded into the spatial domain of the original image using Back-Propagation neural networks (BPN). BPN will learn the characteristic of the image, and then watermark is embedded and extracted by the trained BPN. The image is divided into 8(8 blocks and the average pixel value of each block is used as the desired output value of the BPN. The quantized DC coefficient of discrete cosine transform (DCT) domain of each block is used as input value of the BPN to be trained. After the BPN is trained using those input/output values, watermark is embedded into the spatial domain using the trained BPN. The trained BPN also used in watermark extracting process. Experimental results show that the proposed method has good imperceptibility and high robustness to common image processing.