Abstract

Image denoising is an important pre-processing step in medical image analysis The basic intent of image denoising is to reconstruct the original image from its noisy observation as accurately as possible while preserving important detail features such as edges and textures in the denoised image In medical imaging for the precise analysis of diseases denoising of medical images like X-RAY CT Computed Tomography MRI Magnetic Resonance Imaging PET Positron Emission Tomography and SPECT Single Photon Emission Computed Tomography is essential since a small lose of a particular area in case of medical images may results in immense disaster similar to death To mitigate such threat over the last few decades image denoising has been extensively studied in the image and signal processing community and suggested various denoising techniques Each approach has its assumptions advantages and limitations In this paper a detailed survey has been carried out on various image denoising approaches and their performances on on medical images