A New Hybrid Approach for Denoising Medical Images

Abstract

The most significant feature of diagnostic medical images is the removal of impulse noise which is commonly found in medical images and to make better image quality. In recent years, technological development has significantly improved in analyzing medical imaging. This paper proposes different hybrid filtering techniques for the removal of noise, by topological approach. The hybrid filters used here are hybrid median filter [hybrid min filter (H₁F) and hybrid max filter (H₂F)]. These filters are treated in terms of a finite set of certain estimation and neighborhood building operations. A set of such operations is suggested on the base of the analysis of a wide variety of nonlinear filters described in the literature. It is suggested from the simulation results that the proposed scheme yields better image quality after denoising. This approach is incorporated with spatial domain and frequency domain analysis. Results obtained by hybrid filtering technique are measured by the statistical quantity measures: Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR). Overall results indicate that the enhancement quality was performed well in proposed method when compared to other filtering techniques.