Combining the calculus of variations and wavelets for image enhancement

被引:43
作者
Coifman, RR
Sowa, A
机构
[1] Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA
[2] Yale Univ, Dept Math, New Haven, CT 06520 USA
关键词
image processing; image enhancement; denoising; data compression; wavelet optimization; wavelet shrinkage; wavelet relaxation;
D O I
10.1006/acha.2000.0299
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We propose methods of both slow and rapid post-processing of signals for erasure of artifacts that arise in the process of thresholding and quantization. We use wavelets as tools to define constraints and variational functionals as measures of complexity of signals. The methods come from analyses of different possibilities of blending variational calculus and wavelet multiresolution in ways that appear to be natural. (C) 2000 Academic Press.
引用
收藏
页码:1 / 18
页数:18
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