The Effect of Variance Difference of Dyadic Quantized Histograms on Universal Steganalysis

Date Added: Jan 2013
Format: PDF

Steganalysis is the art and science of detecting messages hidden using steganography. The goal of steganalysis is to identify suspected packages, determine whether or not they have a payload encoded into them, and, if possible, recover that payload. Selecting a proper cover image plays a prominent role in steganography success. Various measures have been introduced to choose a proper image so far. In this paper, the authors are going to present a new measure independent of hidden message and it is just build on the image content. It is also quite effective on steganalysis and steganography success. This measure has been constructed by using histogram as the main component of image processing and it is called Variance Difference of dyadic Quantized Histograms.