Abstract

A robust blind watermarking scheme using wave atoms is proposed. The watermark is embedded in the wave atom transform domain by modifying one of the scale bands. The detection and extraction procedures do not need the original host image. We tested the proposed algorithm against common image processing attacks like JPEG compression, Gaussian noise addition, median filtering, and salt and pepper noise, and also compared its performance with other watermarking schemes using multiscale transformation. They were carried out using Matlab software. The experimental results demonstrate that the proposed algorithm has great robustness against various imaging attacks.

Highlights

  • Since the rapid development of digital technology and internet, it makes anyone possible to create, replicate, transmit, and distribute digital content in an effortless way [1]

  • A robust watermarking scheme based on the wave-atom transform is presented

  • The quality of the watermarked image is good in terms of perceptibility and peak signal-to-noise ratio (PSNR)

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Summary

Introduction

Since the rapid development of digital technology and internet, it makes anyone possible to create, replicate, transmit, and distribute digital content in an effortless way [1]. As a copyright protection technology, digital watermarking recently draws a lot of attention since it can embed desirable information in transmitted audio, image, and video data files and ensures the data integrity at the same time [2]. According to whether the original image is needed or not during the detection, watermarking methods can be sorted as nonblind, semiblind, or blind [3]. There are few researches on finding out the feasibility of wave atom transform applying in digital watermarking. Little modifications of textures area are usually imperceptible by human eyes, and the wave atom can provide significantly sparser expansion for the oscillatory functions or oriented textures [8]. We present a blind watermarking method using the wave atom transform.

Wave Atom Transform
Proposed Method
Experimental Results
Conclusion
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