TY  - JOUR
AU  - Majhi, Banshidhar 
AU  - Fathi, Mowafak 
PY  - 2005
TI  - FLANN Detector Based Filtering of Images Corrupted by Impulse Noise
JF  - Journal of Computer Science
VL  - 1
IS  - 3
DO  - 10.3844/jcssp.2005.332.336
UR  - https://thescipub.com/abstract/jcssp.2005.332.336
AB  - We present a novel non-linear scheme for image restoration based on neuro-detector using
Functional Link Artificial Neural Network (FLANN) followed by an improved spatial filter. The
method is applied to images corrupted by impulse noise with varying strengths and different noise
probability. The neural detector is based on the concept of training or learning by examples. When
trained properly, the detector used to detect impulse noise in any image degraded by impulse noise.
Hence, the method is suitable for real time image restoration applications. The simulated results
obtained from the proposed scheme outperforms existing approaches are highly satisfactory and it
outperforms the earlier suggested methods in terms of residual NSR in restored images.