Computation of embedding capacity in reversible watermarking schemes
Rushikesh Prakash Borse, Subhasis Chaudhuri · 2010
This paper deals about embedding capacity computation for reversible watermarking schemes. The paper proposes a unique way of computing embedding capacity directly from the data set without actually embedding the watermark in the image. This computation is done based on the statistical parameters of the data set. We also demonstrate how to compute the capacity under distortion constraints. We also show how to enhance the capacity by using a multipass embedding scheme without substantially affecting the PSNR.