Zobrazeno 1 - 6
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pro vyhledávání: '"Chuanjiang, He"'
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:
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
Publikováno v:
Signal Processing. 93:2408-2421
In this paper, we present a fractional order total variation (TV) regularization functional for image super-resolution, the role of which is to better handle the texture details of image. This regularization functional is then incorporated into a var
Autor:
Liming Tang, Chuanjiang He
Publikováno v:
J. Appl. Math.
Journal of Applied Mathematics, Vol 2013 (2013)
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 pa
Autor:
Chuanjiang He, Ye Yuan
Publikováno v:
Nonlinear Analysis: Real World Applications. 13:959-966
Variational level set methods for image segmentation involve minimizing an energy functional over a space of level set functions using a continuous gradient descent method. The functional includes the internal energy (curve length, usually) for regul