Performance Comparison of Various Filters and Wavelet Transform for Image De-Noising
Chanchal Srivastava Chanchal Srivastava · IOSR Journal of Computer Engineering · 2013
Digital images are prone to a variety of noise.The varieties include Speckle noise, Gaussian noise, Salt and pepper noise.It is a difficult task to separate noise from an image while maintaining the desired information and quality of an image.To obtain significant results, various algorithms have been proposed.This paper deals with comparison of two approaches i.e. filtering approach and wavelet based approach accounting Peak Signal to Noise Ratio and Root Mean Square Error as performance parameters.This paper proves that Wavelet Transform method is very effective for all types of noise.Results of this paper have been simulated on MATLAB.