Neural Network Adaptive Switching Median Filter for Image Denoising
Ilia V. Apalkov, Pavel S. Zvonarev, Vladimir V. Khryashchev · 2005
A new neural network adaptive switching median (NASM) filter is proposed to remove salt-and-pepper impulse noise from highly corrupted image. The algorithm is developed by combining advantages of the known progressive median filter with impulse detection scheme. Neural network was included into impulse detection step to improve its characteristics. Comparison of the given method with traditional median-type filters is provided