Image De-noising by Various Filters for Different Noise
Pawan Kumar Patidar, Manoj Gupta, Sumit Kumar Srivastava, Ashok Kumar Nagawat · International Journal of Computer Applications · 2010
Image processing is basically the use of computer algorithms to perform image processing on digital images.Digital image processing is a part of digital signal processing.Digital image processing has many significant advantages over analog image processing.Image processing allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing of images.Wavelet transforms have become a very powerful tool for de-noising an image.One of the most popular methods is wiener filter.In this work four types of noise (Gaussian noise , Salt & Pepper noise, Speckle noise and Poisson noise) is used and image de-noising performed for different noise by Mean filter, Median filter and Wiener filter .Further results have been compared for all noises.