Algorithm

Residual

Pixel

Median filter

Signal-to-noise ratio (imaging)

Gaussian noise

Image processing

Image noise

Telecommunications

Image restoration

Computer science

Impulse noise

Filter (signal processing)

Pooling

Image (mathematics)

Salt-and-pepper noise

Artificial intelligence

Noise measurement

Finite impulse response

Noise reduction

Noise (video)

Computer vision

IEEE Signal Processing Letters

Image corruption is a common phenomenon which occurs due to electromagnetic interference, and electric signal instabilities in a system. In this letter, a novel multi procedure Min-Max Average Pooling based Filter is proposed for removal of salt, and pepper noise that betide during transmission. The first procedure functions as a pre-processing step that activates for images with low noise corruption. In latter procedure, the noisy image is divided into two instances, and passed through multiple layers of max, and min pooling which allow restoration of intensity transitions in an image. The final procedure recombines the parallel processed images from the previous procedures, and performs average pooling to remove all residual noise. Experimental results were obtained using MATLAB software, and show that the proposed filter significantly improves edges over exiting literature. Moreover, Peak Signal to Noise Ratio was improved by 1.2 dB in de-noising of medical images corrupted by medium to high noise densities.

Min-Max Average Pooling Based Filter for Impulse Noise Removal