Diffusion Equation in the FrFT Domain For Medical Image Denoising

Noise in medical images can lead to misassessment by the human visual system and consequently to misdiagnosis. Anisotropic diffusion using partial differential equations (PDEs) is a powerful tool for image denoising that not only removes noise in homogeneous regions but also preserves image edges. In this paper, a novel method for simple and fast computation of the fractional-order Fourier transform (FrFT) is proposed. Using the proposed method, PDE-based techniques are transferred to the spatial-frequency domain. Thus, both spatial and frequency information are exploited for noise removal. Simulation results demonstrate a significant improvement in output image characteristics.

کلیدواژه ها:

Medical Images ، Denoising ، Partial Differential Equations ، Fractional Fourier Transform