eng Oriental Scientific Publishing Company Biomedical and Pharmacology Journal 0974-6242 2021-06-30 14 2 853 867 10.13005/bpj/2188 38843 article Neelam Turk 1 Sangeeta Kamboj 2 Sonam Khera 1 Neha Rajput 1 Electronics and Communication Engineering Department, J.C.Bose University of Science and Technology, YMCA ,Faridabad, Haryana, India, Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India In the proposed work, noise models such as Salt & Pepper, Gaussian and Poisson are considered in order to corrupt the image.Image restoration is still challenging task to recover an original  image using a degradation and restoration model. In the paper, Gaussian, Average and Wiener linear image restoration techniques are used to recover the original MRI image. Median filter, Min and Max non-linear filters are also used to obtain uncorrupt image in the paper.Mean square error (MSE), Peak Signal to Noise Ratio (PSNR) and Cross Correlation(CC) performance analysis criteria are used to compare different restoration technique so that better performance in a clinical diagnosis can be achieved. In the paper it can be found that wiener filter with 5 x 5 window for Gaussian, speckle and Poisson noise provides best performance in terms of MSE and PSNR. Also,median filter with 5 x 5 window gives better accuracy of results to restore 3D salt & pepper noised image in terms of MSE and CC. https://biomedpharmajournal.org/vol14no2/performance-analysis-of-different-restoration-techniques-for-degraded-3d-cervical-spine-mri-image/ Image degradation Image restoration  Linear and Nonlinear filter  MRI image  MSE PSNR