High Capacity Image Steganographic Model for Windows

Name: High Capacity Image Steganographic Model
Rating: 4 (1 reviews)
Author: Luigi Rosa

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Key Details of High Capacity Image Steganographic Model

Get a High Capacity Image Steganographic Model Matlab source code.
Last updated on September 3, 2015
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By Luigi Rosa

Get a High Capacity Image Steganographic Model Matlab source code.

Steganography is an ancient art of conveying messages in a secret way that only the receiver knows the existence of message. So, a fundamental requirement for a stegano- graphic method is imperceptibility; this means that the embedded messages should not be discernible to the human eye. There are two other requirements, one is to maximize the embedding capacity, and the other is security. The least-significant bit (LSB) insertion method is the most common and easiest method for embedding messages in an image. However, how to decide on the maximal embedding capacity for each pixel is still an open issue. An image steganographic model is proposed that is based on variable-sized LSB insertion to maximise the embedding capacity while maintaining the image fidelity. For each pixel of a gray-scale image, at least 4 bits can be used for messages embedding. First, according to contrast and luminance characteristics, the capacity evaluation is provided to estimate the maximum embedding capacity of each pixel. Then, the minimum-error replacement method is adapted to find a gray-scale as close to the original one as possible.