Abstract

This paper presents a secure spread-spectrum watermarking algorithm for digital images in discrete wavelet transform (DWT) domain. The algorithm is applied for embedding watermarks like patient identification /source identification or doctors signature in binary image format into host digital radiological image for potential telemedicine applications. Performance of the algorithm is analysed by varying the gain factor, subband decomposition levels, size of watermark, wavelet filters and medical image modalities. Simulation results show that the proposed method achieves higher security and robustness against various attacks.

Highlights

  • In recent years image watermarking has become an important research area in data security, confidentiality and image integrity

  • This paper proposes a new secure spread-spectrum based watermarking algorithm for embedding sensitive medical information like physician’s signature/identifycation code or patient identity code into radiological image for identity authentication purposes

  • Very small changes are very susceptible to noise. This problem can be addressed by applying spread-spectrum watermarking which can be understood with spread-spectrum communications analogy in which frequency domain of the image is viewed as a communication channel, and correspondingly, the watermark is viewed as a signal that is transmitted through it [24]

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Summary

Introduction

Many wavelet based watermarking schemes were proposed for medical images [15,16,17,18]. It was designed to be good at combating interference due to jamming, hiding a signal by transmitting it at low power, and achieving secrecy These properties make spread-spectrum very popular in present-day digital watermarking. This paper proposes a new secure spread-spectrum based watermarking algorithm for embedding sensitive medical information like physician’s signature/identifycation code or patient identity code into radiological image for identity authentication purposes. This medical information in binary image form is taken as watermarks.

Spread Spectrum Watermarking in Wavelet Transform Domain
Spread Spectrum Watermark Design
Proposed Algorithm
Data Embedding
Extraction of Hidden Data
Performance Analysis
Conclusions

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