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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15054

Title: Genetic Programming based Robust Image Watermarking using Wavelet and Morton Order
Authors: Almas Abbasi
Zahoor Jan
Arfan Jaffar
Keywords: Genetic Programming, Noise Visibility Function, Morton, Discrete Wavelet Transformation, JPEG.
Issue Date: 2010
Abstract: This paper presents a blind, still image, Genetic Programming (GP) based watermarking technique. The proposed technique embed appropriate level of watermark in the coefficients selected randomly in Morton order in 8*8 block size considering noise visibility function .Vertical and Horizontal sub-bands at second level of image is used for embedding purpose in wavelet domain. Noise Visibility Function (NVF) is used by the GP to intelligently determine the appropriate strength of watermark in the selected coefficients. Experimental results show that technique is quite robust against image processing attacks, noise attack, geometric attack and cascading attacks.
URI: http://hdl.handle.net/123456789/15054
Appears in Collections:College of Computer and Information Sciences

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