Abstract
This paper presents a reversible image watermarking (RIW) method including an adaptive feedback part based on difference expansion (DE). With respect to some parameters of the image, peak signal to noise ratio (PSNR), the highest payload capacity and the corresponding embedding threshold are spontaneously calculated by using the proposed adaptive feedback-based reversible Image watermarking (AFRIW). The payload capacity for data embedding is briefly explained. The machinery part of the adaptive feedback for controlling the payload capacity is presented. Software verification of three cover images is presented. Based on some image parameters, the comparative result between the proposed AFRIW algorithm and DE-based RIW method is presented. This paper also presents the VLSI architecture of this proposed algorithm for RIW. The proposed architecture has been implemented using VIVADO 2016.2 based on Xilinx Virtex-7 FPGA and Zynq device platforms. The software implementation results clearly demonstrated that the AFRIW method provides higher PSNR than the DE-based RIW method. The hardware implementation results indicate that the proposed algorithm has low timing complexity over other existing feedback based RIW algorithms which in turn provide higher speed.
Similar content being viewed by others
References
Aa M (2004) Reversible watermark using the difference expansion of a generalized integer transform. IEEE Trans Image Process 13:1147–1156. https://doi.org/10.1109/TIP.2004.828418
Barton JM (1997) Method and apparatus for embedding authentication information within digital data. US Patent: 5 646 997
Caldelli R, Filippini F, Becarelli R (2010) Reversible watermarking techniques: an overview and a classification. EURASIP J Inf Secur 2010:1–19. https://doi.org/10.1155/2010/134546
Chi LY, Wu HC, Yu SS (2011) Adaptive DE-based reversible steganographic technique using bilinear interpolation and simplified location map. Multimed Tools Appl 52:263–276. https://doi.org/10.1007/s11042-010-0496-0
Coltuc D, Tremeau A, Delp EJ, Wong PW (2005) Simple reversible watermarking scheme. SPIE Secur Steganogr Watermarking Multimed Contents VII 5681:561–568. https://doi.org/10.1117/12.585782
Coltuc D, Chassery JM, Delp EJ, Wong PW (2006) Simple reversible watermarking scheme: further results. SPIE Secur Steganogr Watermarking Multimed Contents VIII 6072:739–746. https://doi.org/10.1117/12.641376
Feng JB, Lin IC, Tsai CS, Chu YP (2006) Reversible watermarking: current states and key issues. Int J Netw Secur 2:161–171. http://isrc.ccs.asia.edu.tw/ijns/contents/ijns-v2-n3/ijns-2006-v2-n3-p161-170.pdf
Ghosh S, Das N, Das S, Maity SP, Rahaman H (2014a) Digital design and pipelined architecture for reversible watermarking based on difference expansion using FPGA. In: Information Technology (ICIT) IEEE Xplore, pp 123–128. https://doi.org/10.1109/icit.2014.26
Ghosh S, Das N, Das S, Maity SP, Rahaman H (2014b) FPGA and SoC based Reversible watermarking using improved rhombus interpolation. In: India Conference (INDICON) IEEE Xplore, pp 1–6. https://doi.org/10.1109/indicon.2014.7030612
Honsinger CW, Jones P, Rabbani M et al (2001) Lossless recovery of an original image containing embedded data. US patent: 6278791
Mohanty SP (1999) Digital watermarking: a tutorial review. IEEE Comput 31:1–24
Tian J (2003) Reversible data embedding using a difference expansion. IEEE Trans Circuits Syst Video Technol 13:890–896. https://doi.org/10.1109/TCSVT.2003.815962
Tsai CS, Chang CC (2004) A new repeating color watermarking scheme based on human visual model. EURASIP J Appl Signal Process 13:1965–1972. https://doi.org/10.1155/S1110865704405071
Varnan CS, Jagan A, Kaur J, Jyoti D, Rao DS (2011) Image quality assessment techniques in spatial domain. Int J Comput Sci Technol 2:177–184
Acknowledgement
The authors would like to thank the Special Manpower Development Programme-Chip to System Design (SMDP-C2SD) sponsored by Ministry of Electronics and Information Technology (MeitY) for providing financial assistance to carry out the research work.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Das, S., Singh, P. & Koley, C. Hardware implementation of adaptive feedback based reversible image watermarking for image processing application. Microsyst Technol 26, 3271–3287 (2020). https://doi.org/10.1007/s00542-018-4024-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00542-018-4024-x