Improving spatial adaptivity of nonlocal means in low-dosed CT imaging using pointwise fractal dimension

DOI10.1155/2013/902143zbMath1275.92070OpenAlexW2034614031WikidataQ36765408 ScholiaQ36765408MaRDI QIDQ382682

Zhiwu Liao, Jiliu Zhou, Xiuqing Zheng, Ming Li, Shaoxiang Hu

Publication date: 21 November 2013

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/902143

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Cites Work

• Determining neighborhoods of image pixels automatically for adaptive image denoising using nonlinear time series analysis
• Reducing noises and artifacts simultaneously of low-dosed \(X\)-ray computed tomography using bilateral filter weighted by Gaussian filtered sinogram
• Sinogram restoration for low-dosed \(X\)-ray computed tomography using fractional-order Perona-Malik diffusion
• On calculation of fractal dimension of images
• A Review of Image Denoising Algorithms, with a New One