Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Zhengmeng Jin"'
Publikováno v:
Journal of Mathematical Imaging and Vision. 65:437-452
Publikováno v:
Journal of the Franklin Institute. 359:8377-8394
Publikováno v:
Applied Numerical Mathematics. 172:242-258
The fractional Laplacian, ( − △ ) s , s ∈ ( 0 , 1 ) , appears in a wide range of physical systems, including Levy flights, some stochastic interfaces, and theoretical physics in connection to the problem of stability of the matter. In this pape
Publikováno v:
Journal of Mathematical Analysis and Applications. 523:126992
Publikováno v:
SIAM Journal on Imaging Sciences. 14:441-469
In order to retain as many valuable details from the input source images as possible during the process of fusion, this paper proposes an adaptive weight based total variation model for image fusio...
Publikováno v:
Applied Mathematical Modelling. 79:52-67
Image segmentation methods usually suffer from intensity inhomogeneity problem caused by many factors such as spatial variations in illumination (or bias fields of imaging devices). In order to address this problem, this paper proposes a Retinex-base
Publikováno v:
Computers & Mathematics with Applications. 77:2553-2567
Color transfer methods usually suffer from spatial color coherency problem. In order to address this problem, this paper develops a fused color transfer method for image colorization. Our idea is to design a local student’s t-test to screen the inc
Publikováno v:
Numerical Mathematics: Theory, Methods and Applications. 10:895-912
High order total variation (TV2) and ℓ1 based (TV2L1) model has its advantage over the TVL1 for its ability in avoiding the staircase; and a constrained model has the advantage over its unconstrained counterpart for simplicity in estimating the par
Publikováno v:
Inverse Problems and Imaging. 10:1037-1055
In this paper, we study the problem of image colorization based on the propagation from given color pixels to the other grey-level pixels in grayscale images. We propose to use a coupled total variation model with curvature information of luminance c
Autor:
Zhengmeng Jin, Xiaoping Yang
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 32:969-982
In this paper, we consider two variational models for speckle reduction of ultrasound images. By employing the G-convergence argument we show that the solution of the SO model coincides with the minimizer of the JY model. Furthermore, we incorporate