Year 2019, Volume 23 , Issue 4, Pages 493 - 500 2019-08-01

Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors

Emre Altınkaya [1] , Burhan Baraklı [2]


This study compares two reversible image watermarking algorithms applied to a digital image. The first algorithm is a method based on adaptive watermarking of prediction-errors. With this method, as in the existing reversible image watermarking methods, pixels are embedded in two different ways according to the values of prediction-errors instead of applying the same watermarking algorithm to all pixels in the imageAccordingly, the image pixels are divided into two blocks as uniform and non-uniform. The watermarking capacity has been increased by embedding 2-bit to specific pixels of uniform blocks and 1-bit to specific pixels of non-uniform blocks. The second algorithm is a method based on interpolation errors. In this method, interpolation error is utilized. The two methods compared with each other were compared with the existing methods in the literature by using computer simulations, and superior and weak aspects of the methods were determined.

reversible watermarking, adaptive reversible image watermarking, pixel selection, prediction-error expansion, interpolation error expansion
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Primary Language en
Subjects Engineering, Electrical and Electronic
Published Date August 2019
Journal Section Research Articles
Authors

Orcid: 0000-0003-3172-1591
Author: Emre Altınkaya (Primary Author)
Country: Turkey


Orcid: 0000-0002-7947-2312
Author: Burhan Baraklı

Dates

Application Date : October 2, 2018
Acceptance Date : February 1, 2019
Publication Date : August 1, 2019

Bibtex @research article { saufenbilder466656, journal = {Sakarya University Journal of Science}, issn = {1301-4048}, eissn = {2147-835X}, address = {}, publisher = {Sakarya University}, year = {2019}, volume = {23}, pages = {493 - 500}, doi = {10.16984/saufenbilder.466656}, title = {Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors}, key = {cite}, author = {Altınkaya, Emre and Baraklı, Burhan} }
APA Altınkaya, E , Baraklı, B . (2019). Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors. Sakarya University Journal of Science , 23 (4) , 493-500 . DOI: 10.16984/saufenbilder.466656
MLA Altınkaya, E , Baraklı, B . "Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors". Sakarya University Journal of Science 23 (2019 ): 493-500 <http://www.saujs.sakarya.edu.tr/en/issue/43328/466656>
Chicago Altınkaya, E , Baraklı, B . "Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors". Sakarya University Journal of Science 23 (2019 ): 493-500
RIS TY - JOUR T1 - Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors AU - Emre Altınkaya , Burhan Baraklı Y1 - 2019 PY - 2019 N1 - doi: 10.16984/saufenbilder.466656 DO - 10.16984/saufenbilder.466656 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 493 EP - 500 VL - 23 IS - 4 SN - 1301-4048-2147-835X M3 - doi: 10.16984/saufenbilder.466656 UR - https://doi.org/10.16984/saufenbilder.466656 Y2 - 2019 ER -
EndNote %0 Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors %A Emre Altınkaya , Burhan Baraklı %T Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors %D 2019 %J Sakarya University Journal of Science %P 1301-4048-2147-835X %V 23 %N 4 %R doi: 10.16984/saufenbilder.466656 %U 10.16984/saufenbilder.466656
ISNAD Altınkaya, Emre , Baraklı, Burhan . "Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors". Sakarya University Journal of Science 23 / 4 (August 2019): 493-500 . https://doi.org/10.16984/saufenbilder.466656
AMA Altınkaya E , Baraklı B . Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors. SAUJS. 2019; 23(4): 493-500.
Vancouver Altınkaya E , Baraklı B . Comparison Of Reversible Image Watermarking Methods Based On Prediction-Errors. Sakarya University Journal of Science. 2019; 23(4): 500-493.