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Medical Image Denoising with Ramp Preserving using Advanced Nonlinear Diffusion Approach

Akhilesh R. Upadhyay, Ramesh R. Choudhary, Sanjay N. Talbar


The need for image enhancement and denoising is encountered in many medical applications like MRI, Ultrasound and CT scan images. In this paper, modified nonlinear diffusion image denoising is examined on biomedical images with ramp preserving technique. The noise is an intrinsic property of medical imaging; generally it tends to reduce the image resolution and contrast, thereby reducing the diagnostic value of this imaging modality. The spatial resolution of medical imaging depends on the focal spot and size of the detector. The preprocessing allows filtering methods based on assuming the noise to be white and Gaussian, to perform in nearly optimal conditions. This paper evaluates performances of different linear and nonlinear anisotropic diffusion based filtering methods. Modified diffusion approach is based on partial differential equation [PDE], of which the initial data is the input images, transformed into differential forms and solved with iterations. After comparing the results with other filters, the modified anisotropic diffusion method found very useful for denoising.


Complex diffusion, Denoising, Nonlinear diffusion, Partial Differential Equation, Scale space, Ultrasound.

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