Title :
Image enhancement using the adaptive correlation enhancer
Author :
Knittle, C.D. ; Magotra, N.
Author_Institution :
Sandia Nat. Lab., Albuquerque, NM, USA
fDate :
12/1/1992 12:00:00 AM
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;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
