Evaluation of image denoising techniques a performance perspective
G. Arvind Kumar, Ashok Kusagur · 2016
An attempt is made to develop and carry out the performance evaluation of the different Image Denoising Techniques on the images. This paper discusses the improvement of the recent image denoising techniques from the traditional techniques. The improved denoising filters, succeeded by the median filter are taken into consideration and the improvement of the median filter and its performance parameter is checked for any improvements from the traditional filtering techniques. Matlab based implementation is carried out and the results are tabulated for different noise conditions. The performance parameters MSE and PSNR, are used for comparison of the test image applied with different noises, Salt and Pepper, Gaussian and Speckle noise. This paper can be considered as the tradeoff analysis of the different filtering techniques on the different noises.