Title :
Enhancement of images using the 2-D LMS adaptive algorithm
Author :
Soni, Tarun ; Rao, Bhaskar D. ; Zeidler, James R. ; Ku, Walter H.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
The use of adaptive filters for the enhancement of images is studied. In particular, the enhancement of images where the region of interest has a small spatial extent compared to the noise is considered. A two stage approach for enhancing the desired signal is presented. At each stage, a two dimensional adaptive filter employing the least mean square (LMS) algorithm is used. By properly choosing the adaptation step size, in the first stage the colored noise is whitened, and in the second stage the desired signal is recovered from the white noise. Procedures for selecting the step size are discussed. Computer simulations to support the results are also presented
Keywords :
adaptive filters; least squares approximations; picture processing; two-dimensional digital filters; white noise; 2-D LMS adaptive algorithm; adaptation step size; colored noise; computer simulations; image enhancement; least mean square; two dimensional adaptive filter; white noise; Adaptive algorithm; Adaptive filters; Colored noise; Filtering; Least squares approximation; Noise cancellation; Oceans; Statistics; Two dimensional displays; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.151041
