Reducing noises and artifacts simultaneously of low-dosed \(X\)-ray computed tomography using bilateral filter weighted by Gaussian filtered sinogram

DOI10.1155/2012/138581zbMath1264.94049OpenAlexW1963697243WikidataQ58912472 ScholiaQ58912472MaRDI QIDQ1954465

Zhiwu Liao, Shaoxiang Hu, Wu-Fan Chen

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/138581

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

Improving spatial adaptivity of nonlocal means in low-dosed CT imaging using pointwise fractal dimension ⋮ New Laguerre filter approximators to the Grünwald-Letnikov fractional difference

Cites Work

• A numerical method for preserving curve edges in nonlinear anisotropic smoothing
• Fractal time series -- A tutorial review
• Adaptive bilateral filtering of image signals using local phase characteristics
• Determining neighborhoods of image pixels automatically for adaptive image denoising using nonlinear time series analysis
• Image denoising using scale mixtures of gaussians in the wavelet domain
• Ideal spatial adaptation by wavelet shrinkage
• Multiresolution Bilateral Filtering for Image Denoising
• Electronic Noise Modeling in Statistical Iterative Reconstruction
• Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain
• A Review of Image Denoising Algorithms, with a New One

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