Image noise identification using neural network with convolution matrix technique

الملخص EN

The problem of noise identification in one-dimensional (signal) and two dimensional (image) processing is very important in engineering and computer science applications.

These noises : salt, pepper, Gaussian and speckle, are different in subjective and objective behaviors.

An Artificial Neural Network (ANN) based approach was proposed for noise identification.

The suggested technique involved select the noise samples and extracts their statistical features using Convolution Matrix (CM), which was then applied to a neural network to identify the noise according to the distribution of the elements of the (CM) .

Neural networks provided a better solution in identifying the noise.