The data related to medical is vital for diagnosis of patient and any alteration in that can lead to the wrong analysis. This may cause severe issues to the patients, so the copyright and integrity protection of these drastically increasing medical data is the need of the hour. In this proposed work, the copyright protection of Neuroimaging Informatics Technology Initiative (NIfTI) images is carried out by using the efficient combination of multiresolution singular value decomposition (MSVD) and redundant discrete wavelet transform (RDWT). The watermarking system’s attributes are optimized through the usage of an adaptive neural fuzzy inference system (ANFIS). Variation in image per pixel (VIPP) and Entropy are used as the input parameters to fuzzy inference system (FIS). Binary robust invariant scalable keypoints (BRISK) are used to verify the crucial region of interest (ROI). The percentage improvement in visual similarity is 21.24% while in resilience it is 12.13%.