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Enhanced Watermarking Using Entropy for Digital Images based on Histogram

Author(s):

Rashpinder Kaur , Chandigarh University, Mohali, Punjab, 140413; Jaspreet Singh (A.P.), Chandigarh University, Mohali, Punjab, 140413

Keywords:

information theory; entropy masking; digital Watermarking

Abstract

In this paper, we propose a reversible watermarking technique where an original image can be extracted from the watermarked image. This technique makes use of a classification process for identifying parts of the image that can be watermarked with the most suited reversible modulation. This classification is based on a reference image derived from the image itself. In this paper we also propose a universal entropy masking model for watermarking embedding algorithm to keep the balance between watermarks’ imperceptibility and its robustness. For this proposed work we use Image Processing Toolbox under the Matlab software.

Other Details

Paper ID: IJSRDV2I3708
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 1778-1780

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