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Digital Medical Image Security in Teleradiology using Tamper Localization and Lossless Recovery Watermarking based on LZW lossless compressed Watermark

Author Affiliations

  • 1 Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Gambang 26300 Kuantan, MALAYSIA

Res. J. Recent Sci., Volume 4, Issue (12), Pages 71-76, December,2 (2015)


Digital imaging technology has got its permanent place almost in every field of life. Computed tomography, X-Ray, Magnetic Resonance Imaging, Ultrasound etc. are medical imaging technologies being used for the purpose of medical imaging. Each of the technologies play special role for surgical planning of health recovery process. With the passage of time human needed decentralization of health facilities for easy and better services provision to the far flank areas of the countries. Decentralization of such facilities has become possible due to the usage of modern communication means such as internet. Teleradiology is a health promoting facility based on internet to get access to remotely located radiologist for better analysis of medical images. Teleradiological images are facing security problems due to different noises and unprotected nature of internet channels by giving opportunities to the unauthorized users getting easy access to the communicating medical images data for change of contents according to their own wishes. Medical image data is very sensitive data and do not afford even a bit of change. Surgical decision made on the basis of altered or tampered medical images can lead to non-recoverable loss. To avoid such a big loss there is an intense need of taking such steps making sure the image protection as well as its recovery into its original version. Image tampering occurred in Teleradialogy environment can be covered by using digital watermarking techniques. This research uses Least Significant Bits (LSBs) based digital watermarking technique for content authentication of Ultrasound medical images. The image has two main parts, ROI (region of interest) and RONI (region of non-interes). Usually ROI covers one third part of the image, consisting of image important information. ROI is defined and compressed using more than one lossless compression techniques. Lempe Ziv Welch LZW is a better lossless compression resulting technique due to its good reduction of bits capability and better compression ratio. LZW lossless compressed ROI is inserted into RONI as a watermark. On the recever side the lossless compressed watermarkis retrived decompressed and used for the lossless recovery of tampered areas of the image ROI.


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