In image processing, nonlinear filters are commonly used as a pre-process for noise removal before applying any advanced processing such as classification and clustering to an image. The adaptive filters being a kind of the nonlinear filters mainly perform better than the others in salt-and-pepper noise. In this paper, we first define a new median method, i.e. right median
(rm). We then define a new adaptive nonlinear filter developed via rm, namely Adaptive Right Median Filter (ARMF), for saltand-pepper noise removal. Afterwards, we compare the results of ARMF with some of the known filters by using 12 test images and two image quality metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM). The results show that ARMF outperforms the other methods at all the noise density except 80% and 90% in the mean percentages. Finally, we discuss the need for further research.
Yayımlanma Tarihi : 30 Haziran 2019
|APA||Erkan, U , Gökrem, L , Engi̇noğlu, S . (2019). Adaptive Right Median Filter for Salt-and-Pepper Noise Removal . International Journal of Engineering Research and Development , 11 (2) , 542-550 . DOI: 10.29137/umagd.495904|