ROI Based Embedded Watermarking of Medical Images for Secured Communication in Telemedicine using matlab


Medical images require special safety and confidentiality because critical judgment is done on the information provided by medical images. Transmission of medical image via internet or mobile phones demands strong security and copyright protection in telemedicine applications. Here, highly secured and robust watermarking technique is proposed for transmission of image data via internet and mobile phones. The region of interest (roi) and non region of interest (roni) of medical image are separated. Only roni is used for watermark embedding. This technique results in exact recovery of watermark with standard Medical database images of size 512x512, giving ‘correlation factor’ equals to 1. The correlation factor for different attacks like noise addition, filtering, rotation and compression ranges from 0.90 to 0.95. The psnr with weighting factor 0.02 is up to 48.53 dbs. The presented scheme is non blind and embeds hospital logo of 64x64 size.


The Encryption And Decryption Using Dwt And Rgb Pixel Shuffling With Steganography By Using Hash-Least Significant Bit (Hlsb) That Make Use Of Hash Function To Developed Significant Way To Insert Data Bits In Lsb Bits Of Rgb Pixels Of Cover Image .Cryptography Recently Includes Using Advanced Mathematical Procedures In Encryption And Decryption Techniques. Cipher Algorithms Are Becoming More Complex Daily. Asymmetric Key Encryption Algorithms The Keys Used For Encryption And Decryption Must Be Different. 

1. More complex.
2. Less accuracy.
3. Low PSNR and MSE.


The method proposed in using dwt was extended in  to enhance security of algorithm by using arnold’s transform pre-treatment for watermark. But this method can be extended to improve psnr and security levels. As given in , two phase watermark embedding process was carried out using dwt. Phase 1: visible watermark logo embedding, phase 2: feature extracted watermark logo embedding. The algorithm was based on texture based watermarking.


1. The proposed method can achieve the highest level of data integrity, confidentiality and security.
2. More accurate.
3. High PSNR and MSE.


1. DWT
2. Arnold Transform
3. Watermarking


Processor Type : Pentium -IV
Speed : 2.4 GHZ
Ram : 128 MB RAM
Hard disk                                : 20 GB HD

Operating System           : Windows 7 
Software Programming Package           : Matlab R2014a


W. Lu, A. Swaminathan, A. L. Varna, and M. Wu, “Enabling search over encrypted multimedia databases,” in IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2009, pp. 725 418– 725 418

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