Data hiding in grayscale images by dynamic programming based on a human visual model ABSTRACT: :A new method for data hiding in grayscale images based on a human vision model with distortion-minimizing capabilities is proposed. Each of the eight bit planes of an input grayscale image is viewed as a binary image, into which message data are embedded horizontally. Two optimization techniques, namely, block pattern coding and dynamic programming, are proposed for image distortion minimization. Experimental results show good performs of the proposed method.Keywords: Data hiding; Grayscale image; Human visual system; Block pattern encoding; Dynamic programming Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Image classification by K-men’s clustering A Novel Invisible and Blind Watermarking Scheme For Copyright Protection of Digital Images