The Application of a Single Algorithm for Filtering Different Noise in the Image

Digital images are prone to different types of noise that are the result of different sources. Today there are different methods applied to remove noise from the image. This paper proposes an algorithm for removing different noises such as: periodic, salt and piper, speckle, Gaussian, Poisson, etc. Initially, the image is corrupted at the same time by different noises of noise. After image corruption, the algorithm enables the identification and restoration of corrupted pixels of the image. The results obtained with the application of this algorithm are compared with the results obtained with the application of traditional filters for noise removal. From the presented results it can be seen that the proposed algorithm enables removing noise from the image with a very high precision. The accuracy of this algorithm is quite hopeful.