Vol. 4 Issue 2
Year:2016
Issue:Apr-Jun
Title:Image Edge Preserving Filter with Impulse Noise Detection and Removal
Author Name:Neelima, Pankaj Mohindru and Pooja Mohindru
Synopsis:
This paper illustrates a new non-linear image edge-preserving filter, used for the detection and elimination of immense frequency impulse noise from digital images. Schemed method subsists of two stages i.e., pixel position detection and filtering. Simulation analysis has been performed on distinct images and results have been demonstrated in comparison to some previously designed filters. The proposed scheme works in a satisfactory way even upon noise densities in a high range of 95% to 97% in both visual presentation and quantitative measures. This designed filter preserves the edges of images with high degree of accuracy. Performance parameters such as PSNR, MAE, RMSE, and SSIM are better than most of the schemes currently in use.
Year:2016
Issue:Apr-Jun
Title:Image Edge Preserving Filter with Impulse Noise Detection and Removal
Author Name:Neelima, Pankaj Mohindru and Pooja Mohindru
Synopsis:
This paper illustrates a new non-linear image edge-preserving filter, used for the detection and elimination of immense frequency impulse noise from digital images. Schemed method subsists of two stages i.e., pixel position detection and filtering. Simulation analysis has been performed on distinct images and results have been demonstrated in comparison to some previously designed filters. The proposed scheme works in a satisfactory way even upon noise densities in a high range of 95% to 97% in both visual presentation and quantitative measures. This designed filter preserves the edges of images with high degree of accuracy. Performance parameters such as PSNR, MAE, RMSE, and SSIM are better than most of the schemes currently in use.
No comments:
Post a Comment