Blind Integer Wavelet Transform Medical Image Watermarking Based Logistic Map Encryption

A new blind Medical image watermarking (MIW) scheme with a high capacity for e-healthcare applications is presented in this paper. Integer Wavelet Transform (IWT) is used as an efficient alternative to treat the cover image in the frequency domain. In this study, three watermarks are embedded in the cover image for content authentication at the receiver side. The watermarks embedding is performed using a variable gain factor in the floating part of the IWT coefficients values. For security improvement of the embedded data and the cover image, a non-linear chaos dynamics is exploited for encrypting the watermarked image. The proposed scheme is evaluated in terms of imperceptibility and capacity payload by subjecting it to various image quality metrics (MSE, PSNR, and SSIM) and multiple metrics for encryption strength measurement (NPCR and UACI). Experimental results prove that the proposed scheme, besides blind is capable of providing high quality watermarked images for relatively high payload. Further, it is observed that the proposed technique provides a good encryption quality to maintain data privacy and security.