Combined bilateral and anisotropic-diffusion filters for medical image de-noising

Author

Arif, Arif Sameh ; Mansor, Sarina ; Logeswaran, Rajasvaran

Author_Institution

Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia

fYear

2011

fDate

19-20 Dec. 2011

Firstpage

420

Lastpage

424

Abstract

Image de-noising is a core operation in image processing and computer vision. In this paper, combination of two popular methods in image de-noising bilateral and anisotropic-diffusion filtering is investigated to reduce the noise in medical images, while preserving the clarity of images. The proposed method experimented on 23 MRI images. The results obtained from the proposed method gained higher peak signal to noise ratio (PSNR) and compression ratio (CR) performance in comparison with the traditional methods by more than 8%.

Keywords

biomedical MRI; computer vision; image coding; image denoising; medical image processing; smoothing methods; MRI image processing; anisotropic diffusion filter; bilateral filter; compression ratio performance; computer vision; medical image denoising; noise reduce; signal to noise ratio; Filtering; Image denoising; Image edge detection; Noise reduction; PSNR; Smoothing methods; Anisotropic- Diffusion; Bilateral; Combination Filters; Image Compression; Image Denoising;

fLanguage

English

Publisher

ieee

Conference_Titel

Research and Development (SCOReD), 2011 IEEE Student Conference on

Conference_Location

Cyberjaya

Print_ISBN

978-1-4673-0099-5

Type

conf

DOI

10.1109/SCOReD.2011.6148776

Filename

6148776