Abstract

Objectives: To protect secret information in a digital medium without compromising robustness. There are many approaches introduced regarding the importance of utilizing medical, military and natural images for image watermarking procedure. Reversible watermarking is appreciated that the original media can be recovered without any loss of information after extracting stego-data. With an aim to provide higher security and robustness, certain investigations have been done on reversible image watermarking. Methods/Statistics: This research work mainly addresses on privacy, reversibility, payload and robustness related goals. Considering these challenges, three parts of image watermarking techniques, namely proposed Bi-orthogonal Wavelet Transform and Importance Measure Model (BWT and IMM), introduced Dynamic Prediction Error Integrated Reversible Image Watermarking (DPEIRIW) and proposed Multi Wavelet Transform based and Oppositional Particle Swarm Optimization (MWT - OPSO) are introduced to improvise the data hiding performance. Findings: The methodologies introduced in this research work not only surpass other approaches with considerations to a variety of incursions, but still maintains a satisfactory image quality. From the experimental results, it is clearly understood that this suggested approach MWT and OPSO attains the average PSNR of 59.84 dB and average NC of 1, which is minimal when comparedwith the all the other existing strategies. Applications/Improvements: As the ongoing trend is now towards multi-core computing and the requirements for the real time video communication is very much in demand, the ownership right information also required to be preserved. It could be a great future direction to deploy this design approach under multi-core platforms. Keywords: Correlation Coefficient, Entropy, Importance Measure Model, OPSO Biorthogonal DWT, Prediction Error, Reversible Watermarking, NC, PSNR

Highlights

  • The entrenchment of programedintelligence in whole aspects of day-to-day chores is one of the colossalhightechoccurrences of the past twenty years

  • The primary focus of this proposed research work is to design an efficient, powerful reversible image watermarking scheme depends on MWT-Opposition based PSO (OPSO) Model

  • The highest band is chosen as the ring and from that, the superior location is sorted out using OPSO algorithm

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Summary

Introduction

The entrenchment of programedintelligence in whole aspects of day-to-day chores is one of the colossalhightechoccurrences of the past twenty years. Irretrievable watermarking algorithms doesn’t seem to be viable Due to this stern prerequisite, additional departments of watermarking technique has been imported which is catalogued as vagrant, where, with this terminology, it would be anticipated that the important content, except the watermark signal, is retrieved back from the watermarked output file such that any test can be conducted on the primal data. The watermark should be liberal to picture transforming methods like confining (lossless and lossy) and calculated experiments to extirpate the watermark Another challenge of watermark algorithm is imperceptibility. The ultimate goal of this research work is to improve current digital watermarking technique and design it for specific applications. One impediment of digital watermarking is that the primal case is completely altered after the watermark is introduced For pharmaceutical pictures, these alterations may not be alluring no matter how unnoticeable it is.

Research Background
BWT and IMM
Election of the Ring
Collection of Areas
DPEIRIW Model
Pixel Prediction Module
MWT – OPSO Model
Optimal Position Selection
Performance Comparison
Conclusion
Future Scope
Full Text
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