• Ruby Singh
• Dr. Sudesh Singh

The demands on robust and secure data embedding are increasing with increase in number of patient information records and digital imaging modalities and therefore, the management of medical images with safeguarding of patient record becoming an important issue. This paper presents a new secure technique for patients data embedding into medical images using integer wavelet transform (IWT), singular value decomposition (SVD) and Arnold transform. We divide the cover image into four sub-images by picking alternate pixels from consecutive rows and columns and embed the data into the sub-image having the largest sum of singular values. The embedding is done by modifying singular values of the IWT coefficients of the selected sub-image. The use of Arnold transform and SVD increases security and robustness against geometric and several signals processing attacks, while IWT provides computational efficiency. The experimental results show that the proposed technique is potentially achieves higher security and robustness against average and median filtering, addition of noise, cropping, resizing, rotation, motion blur and histogram equalization as well as it is suitable for diagnosis of using such medical data.

Wavelet coefficients, Integer Wavelet Transform, Singular Value Decomposition, Arnold transform.

"Safeguarding Patient records in Medical Images using SVD and IWT based Watermarking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.111-125, May-2019, Available :http://www.jetir.org/papers/JETIR1905Y18.pdf

"Safeguarding Patient records in Medical Images using SVD and IWT based Watermarking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp111-125, May-2019, Available at : http://www.jetir.org/papers/JETIR1905Y18.pdf