Abstract: The impulse noise often damages the human dental X-Ray images, leading to improper dental diagnosis. Hence, impulse noise removal in dental images is essential for a better subjective evaluation of human teeth. The existing denoising methods suffer from less restoration performance and less capacity to handle massive noise levels. This method suggests a novel denoising scheme called "Noise removal using Partition supported Median, Interpolation, and Discrete Wavelet Transform (NRPMID)" to address these issues. To effectively reduce the salt and pepper noise up to a range of 98.3 percent noise corruption, this method is applied over the surface of dental X-ray images based on techniques like mean filter, median filter, Bi-linear interpolation, Bi-Cubic interpolation, Lanczos interpolation, and Discrete Wavelet Transform (DWT). In terms of PSNR, IEF, and other metrics, the proposed noise removal algorithm greatly enhances the quality of dental X-ray images.

Mohamed Shajahan, Siti Armiza Mohd Aris, Sahnius Usman and Norliza Mohd Noor, “Denoising of Impulse Noise using Partition-Supported Median, Interpolation and DWT in Dental X-Ray Images” International Journal of Advanced Computer Science and Applications(IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130932

@article{Shajahan2022,
title = {Denoising of Impulse Noise using Partition-Supported Median, Interpolation and DWT in Dental X-Ray Images},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130932},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130932},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {9},
author = {Mohamed Shajahan and Siti Armiza Mohd Aris and Sahnius Usman and Norliza Mohd Noor}
}