Clinical pictures in the health-care industry are irreplaceable, normally vulnerable to distortions soon after they are transmitted and exchanged via the internet. The sector runs established and continuous defiance to guarantee the preservation of clinical data, which can be altered or distorted by several attacks. The problem could be exacerbated by the pernicious effects of the patient’s diagnostic information. Several amendments to the clinical picture in any way could lead to impeding the full diagnosis for the physician. However, accessibility must be given only to patients and physicians. Digital watermarking has rapidly emerged as a cutting-edge technology to enhance the security of medical digital pictures. This paper works on a combination scheme for picture watermarking that uses clinical pictures (X ray, MRI, and CAT scan), which is a quite solid scheme to secure patients’ data. This work discovers that Discrete wavelet transformation has been decomposed into three levels utilizing (Fejér-Korovkin wavelet filters) and Singular Value Decomposition. Meanwhile, this paper presents Discrete wavelet transformation (FK4 wavelet filter, FK6 wavelet filter, FK8 wavelet filter, FK14 wavelet filter, FK18 wavelet filter, FK22 wavelet filter). Each level utilizes Fejér-Korovkin of wavelet transformation, then Singular Value Decomposition to propose the watermarked clinical picture. The results of many attacks are calculated using different types. Whereas the performance measurement of the suggested scheme is assessed utilizing statistical factors (MSD, PSNR, SSIM, and NCC). It’s work to quantify the picture’s quality, which until now has demonstrated promising results.