Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Chuanjiang, He"'
Publikováno v:
Journal of the Egyptian Mathematical Society, Vol 22, Iss 1, Pp 19-22 (2014)
We establish some new inequalities of Hermite-Hadamard type for functions whose third derivatives absolute values are quasi-convex. Applications to special means have also been presented.
Externí odkaz:
https://doaj.org/article/4436d623506a430ca46638cc56effe96
Publikováno v:
Applied Mathematical Modelling. 72:155-175
In this paper, a vector total fractional-order variation (VTV-β) is proposed. Then, VTV-β model and Gβ(Ω) model are proposed for color image denoising and decomposition, respectively. Some properties of the VTV-β are investigated and an alternat
Autor:
Liming Tang, Chuanjiang He
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
In order to achieve a mutiscale representation and texture extraction for textured image, a hierarchical (BV,Gp,L2) decomposition model is proposed in this paper. We firstly introduce the proposed model which is obtained by replacing the fixed scale
Externí odkaz:
https://doaj.org/article/f69b1bcf700b452a837d659ca31aee9a
Autor:
Wei Wang, Chuanjiang He
Publikováno v:
IEEE Signal Processing Letters. 24:269-273
In this letter, we present a fast and effective algorithm for solving the Poisson-modified total variation model proposed in [Le et al. , “A variational approach to reconstructing images corrupted by Poisson noise,” J. Math. Imag. Vis. , vol. 27,
Autor:
Liming Tang, Chuanjiang He
Publikováno v:
Computers & Electrical Engineering. 54:354-369
Display Omitted We propose a multiscale variational decomposition model.We apply the proposed model for hierarchical image restoration and reconstruction.We prove the nontrivial property and the convergence of our model.Experimental results verify th
Autor:
Yongfei Wu, Chuanjiang He
Publikováno v:
Neurocomputing. 171:194-208
In this paper, we propose a variational level set model with indirect regularization term for image segmentation. Instead of using direct regularization on level set function, we introduce an auxiliary function to regularize indirectly the level set
Publikováno v:
Multidimensional Systems and Signal Processing. 28:657-677
We propose an image segmentation model that is derived from reaction---diffusion equations and level set methods. In our model, a diffusion term is used for regularization of a level set function, and a reaction term has the desired sign property to
Autor:
Chuanjiang He, Xiaohui Fu
Publikováno v:
Banach J. Math. Anal. 9, no. 3 (2015), 243-247
In this paper, we generalize some determinantal inequalities for Hadamard product of $M$-matrices and inverse $M$-matrices obtained by Chen [Linear Algebra Appl. $\textbf{426}$ (2007), no. 2-3, 610--618.].
Autor:
Yongfei Wu, Chuanjiang He
Publikováno v:
Signal Processing. 106:123-133
In this paper, we propose a strictly convex energy functional in a level set formulation for the purpose of two-phase image segmentation. We prove that the value of the unique global minimizer for the energy functional is within the interval -1, 1 fo
Autor:
Wei Wang, Chuanjiang He
Publikováno v:
SIAM Journal on Imaging Sciences. 8:1955-1980
This paper proposes a variational model with barriers for Retinex, borrowing the ideas of barrier methods. We first present an energy functional and then deduce a new energy functional from it by adding two barriers. The proposed model is defined as