000046150 000__ 01912cam\a22004215i\4500 000046150 001__ 46150 000046150 003__ SzGeWIPO 000046150 005__ 20220712051248.0 000046150 006__ m\\\\eo\\d\\\\\\\\ 000046150 007__ cr bn |||m|||a 000046150 008__ 220524s2021\\\\sz\\\\\\\\\\\\000\0\eng\d 000046150 0247_ $$a10.1109/ACCESS.2021.3104985$$2doi 000046150 035__ $$a(OCoLC)1335039128 000046150 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO$$dCaBNVSL 000046150 041__ $$aeng 000046150 24500 $$aBlind and Robust Watermarking Scheme in Hybrid Domain for Copyright Protection of Medical Images. 000046150 264_1 $$aUnited States:$$b[IEEE],$$c2021 000046150 300__ $$a1 volume 000046150 336__ $$atext$$btxt$$2rdacontent 000046150 337__ $$aunmediated$$bn$$2rdamedia 000046150 338__ $$avolume$$bnc$$2rdacarrier 000046150 4901_ $$aIEEE Access ;$$vVolume 9, pp. 113714 – 113734, 2021. 000046150 500__ $$aISSN: 2169-3536 000046150 500__ $$aThis resource was extracted from the Directory of Open Access Journals (DOAJ) 000046150 520__ $$aThis work presents a robust watermarking technique in hybrid domain for the copyright claim of medical images. The scheme is a fusion of three popular transforms: Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD). The input image is first separated into region of interest (ROI) and region of non-interest (RONI). The DWT is applied on RONI to get low and high frequency bands. The low frequency band is then segmented into $4times 4 000046150 588__ $$aCrossref 000046150 590__ $$aPublished online: Jan-21 000046150 650_0 $$aTechnology. 000046150 650_0 $$aElectrical engineering. 000046150 650_0 $$aNuclear engineering. 000046150 650_0 $$aElectronics. 000046150 7001_ $$aAlzahrani, Ali,$$eauthor. 000046150 7001_ $$aMemon, Nisar Ahmed,$$eauthor. 000046150 830_0 $$aIEEE Access ;$$vVolume 9, pp. 113714 – 113734, 2021. 000046150 85641 $$uhttps://doi.org/10.1109/ACCESS.2021.3104985$$yOnline version 000046150 85648 $$3Abstract with links to full text$$uhttps://dx.doi.org/ 000046150 904__ $$aArticle 000046150 980__ $$aBIB