DocumentCode
1881183
Title
Expand Variance Mean sorting for Reversible Watermarking
Author
Aekawit, K. ; Parinya, S. ; Kasemsan, M. L Kulthon
Author_Institution
Fac. of Inf. Technol., Rangsit Univ., Rangsit, Thailand
fYear
2012
fDate
12-15 Aug. 2012
Firstpage
668
Lastpage
673
Abstract
Prediction Error Expansion is one of Reversible Watermarking (RW) techniques that gives effective results and has been continuously developed over the years. Among those techniques, Sorting Absolute Prediction Error (APE) is an important step used to reduce image distortion; so in this research we focus on developing the technique of sorting APE in ascending order more accurately. We can use local variance values in predicting APE and these values are calculated from means so they are suitable for predicting which areas contains high or low APE values. Consequently, we have improved this parameter by using Expand Variance Mean which can increase efficiency of sorting process and raise PSNR values.
Keywords
image watermarking; PSNR value; RW technique; expand variance mean; image distortion reduction; prediction error expansion; reversible watermarking technique; sorting APE; sorting absolute prediction error; Data mining; Equations; Histograms; PSNR; Payloads; Sorting; Watermarking; Lossless Data Hiding; Prediction Error Expansion; Reversible Watermarking; Variance Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-2192-1
Type
conf
DOI
10.1109/ICSPCC.2012.6335606
Filename
6335606
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