Title :
Two-dimensional LMS adaptive filters
Author :
Ohki, Makoto ; Hashiguchi, Sumihisa
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Yamanashi Univ., Kofu, Japan
fDate :
2/1/1991 12:00:00 AM
Abstract :
A novel two-dimensional least mean square (2-D LMS) algorithm is proposed. This algorithm can converge along both the horizontal and vertical directions of a 2-D plane. In order to compare this algorithm to another 2-D LMS algorithm, both are realized in the form of a 2-D adaptive line enhancer (2-D ALE), and they are applied for to enhancement of images contaminated with noise. The 2-D ALE based on the proposed algorithm does not cause any degradations due to anisotropic processing
Keywords :
adaptive filters; filtering and prediction theory; least squares approximations; picture processing; two-dimensional digital filters; 2-D adaptive line enhancer; 2D LMS adaptive filters; 2D LMS algorithm; anisotropic processing; two-dimensional least mean square; Adaptive algorithm; Adaptive filters; Convergence; Convolution; Digital filters; Equations; Error correction; Least squares approximation; Line enhancers; Two dimensional displays;
Journal_Title :
Consumer Electronics, IEEE Transactions on
