Power-aware VLSI design of reversible watermarking for access control

A lifting based reversible data hiding is introduced here. The low–high subband is subdivided into little blocks of size (4 × 4), to generate a content dependent watermark. Then the access management is done by permutation of the content dependent watermark by a user-specific covert key. The permuted watermark is employed to modulate the lifting coefficients of the low–high subband. The modulation causes degradation of the visual quality of the host image. That plays an important role in access management through inverse method. Lastly, a low-power ‘very-large-scale-integration’ architectural hardware of this scheme is designed and synthesized on a ‘field programmable gate array’. The experiment is conducted over a variety of benchmark images and the results establish the superiority of the method. It is also observed that in real-time processing, the scheme consumes 63.26% less power than the related implementation found in the literature, for watermarking encoder and decoder at a maximum operating frequency of 130.186 MHz for the processing of (512 × 512) sized images.

[1]  J. S. Chitode,et al.  Least Significant Bit and Discrete Wavelet Transform Algorithm Realization for Image Steganography Employing FPGA , 2016 .

[2]  Zhe-Ming Lu,et al.  High performance reversible data hiding for block truncation coding compressed images , 2013, Signal Image Video Process..

[3]  Ching-Nung Yang,et al.  Lossless data hiding for absolute moment block truncation coding using histogram modification , 2016, Journal of Real-Time Image Processing.

[4]  Amit Phadikar,et al.  FPGA Implementation of Lifting-Based Data Hiding Scheme for Efficient Quality Access Control of Images , 2018, Circuits Syst. Signal Process..

[5]  Subhajit Das,et al.  VLSI-Based Pipeline Architecture for Reversible Image Watermarking by Difference Expansion with High-Level Synthesis Approach , 2018, Circuits Syst. Signal Process..

[6]  V. Sadasivam,et al.  Security of health imagery via reversible watermarking based on differential evolution , 2014, 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom).

[7]  Hirak Kumar Maity,et al.  FPGA implementation of reversible watermarking in digital images using reversible contrast mapping , 2014, J. Syst. Softw..

[8]  Jean-Marie Moureaux,et al.  Low power hardware-based image compression solution for wireless camera sensor networks , 2012, Comput. Stand. Interfaces.

[9]  Asifullah Khan,et al.  A high capacity reversible watermarking approach for authenticating images: Exploiting down-sampling, histogram processing, and block selection , 2014, Inf. Sci..

[10]  N. N. Jani,et al.  Reversible Watermarking Technique for Medical Images Using Fixed Point Pixel , 2015, 2015 Fifth International Conference on Communication Systems and Network Technologies.

[11]  Amal Zerrouki,et al.  Power-Aware FPGA Design , 2009 .

[12]  Saraju P. Mohanty,et al.  A dual voltage-frequency VLSI chip for image watermarking in DCT domain , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

[13]  Hafizur Rahaman,et al.  FPGA implementation of semi-fragile reversible watermarking by histogram bin shifting in real time , 2017, Journal of Real-Time Image Processing.

[14]  Amit Phadikar,et al.  Quantization Based Data Hiding Scheme for Efficient Quality Access Control of Images Using DWT via Lifting , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

[15]  Ton Kalker,et al.  Digital watermarking for DVD video copy protection , 2000 .

[16]  Hafizur Rahaman,et al.  Dual Mode VLSI Architecture for Spread Spectrum Image Watermarking using Binary Watermark , 2012 .

[17]  Amit Phadikar,et al.  FPGA Based Low Power Hardware Implementation for Quality Access Control of a Compressed Gray Scale Image , 2017 .

[18]  Chun-Chi Lo,et al.  Reversible Data Hiding Scheme for BTC-compressed Images Based on Histogram Shifting , 2014 .

[19]  Santi P. Maity,et al.  Distortion free image-in-image communication with implementation in FPGA , 2013 .

[20]  S. N. Merchant,et al.  Watermarking Hardware Based on Wavelet Coefficients Quantization Method , 2013, Circuits Syst. Signal Process..

[21]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[22]  Amit Phadikar,et al.  A new model of QIM data hiding for quality access control of digital image , 2015, 2015 International Conference on Soft-Computing and Networks Security (ICSNS).

[23]  Zhou Wang,et al.  Image Quality Assessment: From Error Measurement to Structural Similarity , 2004 .

[24]  M. Nagabushanam,et al.  Fast Implementation of Lifting based 1D/2D/3D DWT-IDWT Architecture for Image Compression , 2012 .

[25]  Malay Kumar Kundu,et al.  Dual purpose FWT domain spread spectrum image watermarking in real time , 2009, Comput. Electr. Eng..