Application of Fractional Wave Packet Transform for Robust Watermarking of Mammograms.

Pushpa Mala Siddaraju,Kaliyamoorthy Ezhilarasan,Devappa Jayadevappa

doi:10.1155/2015/123790

Pushpa Mala Siddaraju, Kaliyamoorthy Ezhilarasan + Show 1 more

Open Access

https://doi.org/10.1155/2015/123790

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Abstract

Exchanging of medical data requires efficient authentication and protection of medical data that can be illegally modified. Watermarking plays an important role in protecting, sharing, and securing medical data. In this work, a robust nonblind medical image watermarking scheme is proposed. The process involves two steps: the embedding and the extraction phase. During the embedding phase, l-level FRWPT is performed on the host image and the watermark is embedded into the modified reference image. In the second phase, inverse FRWPT is performed on the watermarked image to extract the watermark from the watermarked image. The proposed scheme is tested on mammograms images and is subjected to common attacks like Gaussian filtering, median filtering, compression, sharpening, and contrast adjustments. Experimental results show that the proposed scheme is robust.

Highlights

In the past few decades, there has been a tremendous growth in information and communication technology leading to easier access to any form of digital data including medical data
Modern health care systems produce a large amount of medical data. Medical data are those that are generated from Medical Information System (MIS), Hospital Information System (HIS), Radiology Information System (RIS), and Electronic Patient Records (EPR)
To increase the survival rate of breast cancer patients, mammography is used for earlier detection and treatment stages with reduced risk

Summary

Introduction

In the past few decades, there has been a tremendous growth in information and communication technology leading to easier access to any form of digital data including medical data. (i) Embedding the information within the Non-Region of Interest (NROI): this method [12] generally places the watermark in the gray portions of the image. Giakoumaki et al [16] proposed a robust multiple medical image watermarking scheme using 4-level DWT. The watermark was embedded at different decomposition level and was tested on ultrasound images Another multiple medical image watermarking was proposed by Memon et al [17]. Medical image watermarking schemes must consider computational complexities which may lead to time delays for the physician and are still in the early stages of development. A robust medical image watermarking scheme using fractional wavelets is proposed.

Fractional Wave Packet Transform

Arnold Transform

Proposed Work

Results and Discussions

Conclusion