Nyma Alamgir

KIPS Transactions on Software and Data Engineering, Vol. 2, No. 7, pp. 487-494, Jul. 2013
10.3745/KTSDE.2013.2.7.487,   PDF Download:

Abstract

Medical image watermarking has received extensive attention as wide security services in the healthcare information system. This paper propose a blind medical image watermarking approach on the segmented gray-matter (GM) images by utilizing discrete wavelet transform (DWT) and discrete cosine transform (DTC) along with enhanced supperessed fuzzy C-means (EnSFCM) for the optimal selection of sub blocks position to insert a watermark. Experimental results show that the proposed approach outperforms other methods in terms of peak signal to noise ratio (PSNR) and M-SVD. In addition, the proposed approach shows better robustness than other methods in normalized correlation (NC) values against several attacks, such as noise addition, filtering, JPEG compression, blurring, histogram equalization, and cropping.

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