Comparative Analysis of Image Denoising Algorithms using Reference Based Image Quality Measures
International Journal of Advances in Computer Science and Technology · 2019
Much research has been dedicated to find the best denoising method for the specific noise model present in an image.Various linear filters, such as mean filter, Arithmetic mean, Contra harmonic and Weiner filter are becoming increasingly common in removing Gaussian and salt and pepper noise in images.Nonlinear filters like median and Alpha Trimmed filters play avital role in eliminating impulsive noise.This paper demonstrate a comparative analysis of various popular noise suppression approaches to find the appropriate and consistent technique for denoising images.The experimental outcomes are discussed and analysed to find the overall benefits and drawbacks of each technique.