2013
DOI: 10.1155/2013/516919
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External Fractional-Order Gradient Vector Perona-Malik Diffusion for Sinogram Restoration of Low-Dosed X-Ray Computed Tomography

Abstract: Existing fractional-order Perona-Malik Diffusion (FOPMD) algorithms are defined as fully spatial fractional-order derivatives (FSFODs). However, we argue that FSFOD is not the best way for diffusion since different parts of spatial derivative play different roles in Perona-Malik diffusion (PMD) and derivative orders should be decided according to their roles. Therefore, we adopt a novel fractional-order diffusion scheme, named external fractional-order gradient vector Perona-Malik diffusion (EFOGV-PMD), by onl… Show more

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Cited by 10 publications
(9 citation statements)
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“…Following the classical P-M anisotropic diffusion equation proposed by PERONA et al [4]. In 2000, the following four order partial differential equation was put forward by Yu-Li et al:…”
Section: A Image De-noising Modelmentioning
confidence: 99%
“…Following the classical P-M anisotropic diffusion equation proposed by PERONA et al [4]. In 2000, the following four order partial differential equation was put forward by Yu-Li et al:…”
Section: A Image De-noising Modelmentioning
confidence: 99%
“…Partial differential equations (PDEs) and related methods are very important tools for signal processing [1][2][3][4][5][6][7][8][9][10][11][12][13]. Especially, in recent years progress was achieved in the theory of fractional calculus as a useful tool to handle applications in the area of physics, chemistry, and engineering sciences [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, some integer-order PDE methods cannot be modified to their fractional-order counterparts directly. Hu noticed the problem in 2013 and proposed a new fractional-order PDE with different orders of different parts for fractional-order PM method [13]. However, he did not give the analysis in theory.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, fractional-order PMD (FOPMD) has been studied in image denoising [5][6][7][8][9][10][11][12][13][14], whose fractional order is , 0 ≤ ≤ 2, which is a "natural interpolation" between PMD and fourth-order PDEs. Therefore, it has the benefits of both of PMD and high order PDEs.…”
Section: Introductionmentioning
confidence: 99%