International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 9 - Number 4 |
Year of Publication: 2010 |
Authors: Pawan Patidar, Sumit Srivastava |
10.5120/1370-1846 |
Pawan Patidar, Sumit Srivastava . Article:Image De-noising by Various Filters for Different Noise. International Journal of Computer Applications. 9, 4 ( November 2010), 45-50. DOI=10.5120/1370-1846
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.