Image enhancement using the adaptive correlation enhancer

Author

Knittle, C.D. ; Magotra, N.

Author_Institution

Sandia Nat. Lab., Albuquerque, NM, USA

Volume

39

Issue

12

fYear

1992

fDate

12/1/1992 12:00:00 AM

Firstpage

862

Lastpage

865

Abstract

Results from using a novel two-dimensional adaptive filtering algorithm to enhance two-dimensional signals of small spatial extent in noisy images are presented. The algorithm is called the two-dimensional adaptive correlation enhancer (2DACE). The 2DACE algorithm is a coefficient update scheme that converges to the two-dimensional autocorrelation function of the signal or feature of interest. Results are compared to images processed using the two-dimensional least mean square (LMS) algorithm

Keywords

correlation theory; filtering and prediction theory; image processing; interference suppression; two-dimensional digital filters; 2D filters; 2DACE algorithm; SNR; adaptive correlation enhancer; adaptive filtering algorithm; autocorrelation function; coefficient update scheme; noisy images; two-dimensional signals; Adaptive filters; Circuits; Digital filters; Finite impulse response filter; Image enhancement; Minimax techniques; Multidimensional signal processing; Nonlinear filters; Signal processing algorithms; Signal to noise ratio;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.208578

Filename

208578