Eradication of rician noise in orthopedic knee mr images using local mean-based hybrid median filter

Abstract

Medical imaging is a historical achievement to expose the patient’s internal functions or internal problems are seen in the external X-ray, MRI, and CT images; it gives more efficient and accurate results for the physicians to start further treatments to the patients. The medical field requires for new techniques like reduce the complications, improve the image quality, accuracy, real-time output, allow to early detection of the disease and reduce the human era. Different kind of medical images are available that are affected by various types of noise, and thus the various types of noise removal techniques are available to remove the noise. Noises are affecting the quality of real-time output. In the proposed method, these problems were addressed efficiently which in turn will enable real time procedures. The hybrid median filter (HMF) is used to remove the Rician noise. Normally, HMF was used to remove the impulse noise. This paper recommend a novel approach for denoising the magnetic resonance images that propose the both bareness and self-resemblance properties of MR images. Noise reduction is important issue for further visual examination for MR images. The hybrid median filter improves the image quality, preserves the edges, and also reduces the effect due to Rician noise. The visual analysis and diagnostic quality of the magnetic resonance images are preserved. The quantitative measurements based on the standard metrics like AD, MSE, PSNR, LMSE, SSIM shows that the recommended method is better than the other denoising methods for magnetic resonance images.