Robust Digital Image Watermarking in Discrete Wavelet Transform Domain using Back Propagation Neural Networks

Jagadeesh Bandi

Abstract


Digital Image Watermarking provides copyright protection of images by embedding the digital information called watermark. The embedded data can be extracted from the image for identifying the copyright owner. An algorithm based on Discrete Wavelet Transform (DWT) and Back Propagation Neural Network (BPNN) is proposed   in   this   paper.   Neural   networks   are   used   in embedding the watermark. Neural networks adapt embedding strength to this algorithm. This algorithm is robust to several attacks viz., Low Pass Filtering, Resizing, Row-Column Copying, Row-Column blanking, Rotation, JPEG, Salt and Pepper Noise, Cropping, Median Filtering, Bit Plane Removal, Blurring etc. An invisible, imperceptible and oblivious approach is proposed.


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References


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