title: Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters.
abstract: Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration process. The performance of geometric-wiener filter is further enhanced using fuzzy filters and the proposed despeckling techniques are called integrated fuzzy filters. Fuzzy filters based on moving average and median value are employed in the integrated fuzzy filters. The performances of integrated fuzzy filters are tested on echocardiographic images and synthetic images in terms of image quality metrics. It is observed that the performance parameters are highest in case of integrated fuzzy filters in comparison to fuzzy and geometric-fuzzy filters. The clinical validation reveals that the output images obtained using geometric-wiener, integrated fuzzy, nonlocal means, and details preserving anisotropic diffusion filters are acceptable. The necessary finer details are retained in the denoised echocardiographic images.
authors.affiliation: Indian Institute of Technology Roorkee, Roorkee 247 667, India.
authors.forename: Nagashettappa
authors.identifier: 0000-0002-8760-5517
authors.initials: N
authors.lastname: Biradar
authors.affiliation: Indian Institute of Technology Roorkee, Roorkee 247 667, India.
authors.forename: M L
authors.initials: ML
authors.lastname: Dewal
authors.affiliation: Post Graduate Institute of Medical Education and Research, Chandigarh 160 012, India.
authors.forename: Manoj Kumar
authors.initials: MK
authors.lastname: Rohit