Title :
Automatic step size adjustment of the two-dimensional LMS algorithm
Author :
Cho, Han ; Priemer, Roland
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
Abstract :
This paper gives a method for distinguishing the states of the two dimensional LMS algorithm as it enhances an image in an area having high contrast variations or in an area having low contrast variations. This capability is used to automatically adjust the algorithm step size to improve image enhancement as the degree of contrast variation changes over an entire image
Keywords :
image enhancement; least mean squares methods; automatic step size adjustment; contrast; image enhancement; two-dimensional LMS algorithm; Adaptive algorithm; Convergence; Degradation; Estimation error; Filtering; Image enhancement; Least squares approximation; Matrix converters; Signal processing algorithms; Wiener filter;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.518950
