Title :
Image enhancement with 2-D block LMS adaptive IIR filters
Author_Institution :
Sch. of Eng. & Eng. Technol., Fairleigh Dickinson Univ., Teaneck, NJ, USA
Abstract :
A class of two-dimensional adaptive infinite impulse response filters using the block least-mean-square algorithm and output-error formulation is introduced. The multiplier coefficients of the adaptive filter are updated once per block of pixels rather than per pixel. This approach leads to faster implementation and lower computational complexity. Simulation results are included to demonstrate the potential applications of the proposed adaptive filters in two-dimensional system identification and image enhancement
Keywords :
IIR filters; adaptive filters; computational complexity; filtering theory; identification; image enhancement; least mean squares methods; two-dimensional digital filters; 2D block LMS adaptive IIR filters; 2D system identification; block least-mean-square algorithm; computational complexity reduction; image enhancement; infinite impulse response filters; multiplier coefficients; output-error formulation; two-dimensional adaptive filters; Adaptive filters; Computational complexity; Electronic mail; Finite impulse response filter; IIR filters; Image enhancement; Least squares approximation; Noise cancellation; System identification; Two dimensional displays;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.593202
