Nonlinear diffusion and image contour enhancement

被引:0
|
作者
Barenblattt, GI [1 ]
Vázquez, JL
机构
[1] Univ Calif Berkeley, Dept Math, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Lawrence Berkeley Lab, Berkeley, CA 94720 USA
[3] Univ Autonoma Madrid, Dept Matemat, Madrid 28046, Spain
关键词
nonlinear diffusion; image enhancement; degenerate parabolic equations; singular solutions; free boundaries;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The theory of degenerate parabolic equations of the forms u(t) = (Phi(u(x)))(x) and upsilon(t) = (Phi(upsilon))(xx) is used to analyze the process of contour enhancement in image processing, based on the evolution model of Sethian and Malladi. The problem is studied in the framework of nonlinear diffusion equations. It turns out that the standard initial value problem solved in this theory does not fit the present application since it does not produce image concentration. Due to the degenerate character of the diffusivity at high gradient values, a new free boundary problem with singular boundary data can be introduced, and it can be solved by means of a nontrivial problem transformation, thus leading to a new type of solutions that fit the desired concentration requirements. The asymptotic convergence to a sharp front is established and rates calculated.
引用
收藏
页码:31 / 54
页数:24
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