2018-2019 LSB image watermarking matlab code
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Reversible Watermarking for Medical Images Using Histogram Shifting with Location Map Reduction
2018-2019 LSB Image water Marking Code
Abstract— One of the first lab lessons was about LSB (least significant bit) replacement. The idea behind this watermarking technique is the following: if you see you image as a matrix NxM (where N and M are the dimension of the image) you can represent the value of the pixel in the position (i,j) as a binary number; this binary can be then divided in all of its bit, so that you will have a most significant bit (the one that contains quite a lot of information, and a least significant bit that contains few information). If your image is for example in gray scale, you can make changes to the value of the LSB without any perceptible distortion for the human user therefore you can think of taking the LSB of an image (the cover image) and change its value in every pixel with the MSB of another image, that we would like to embed in a secret/non perceptible way in the cover image). For my code I used two bitmap image, unfortunately wordpress doesn’t allow me to publish bmp images, so I’m just going to put here the links for getting the images from the web: http://www.ece.rice.edu/~wakin/images/lena512.bmp http://www.eecs.qmul.ac.uk/~phao/CIP/Images/Baboon.bmp Ok, now (as always) a lot of code about LSB watermarking and few words about it 😀 Briefly with the following code I will try to embed the MSB of the baboon image into the picture of Lena by exploiting the LSB embedding technique. We will try also to add an WGN (white gaussian noise) to the image then after these operations we will write to file the results. The code is heavily commented, so I think that further explanations are not needed..
2018-2019 Medical Image water Marking Codepdf
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