Denoising of Impulse Noise using Partition-Supported Median, Interpolation and DWT in Dental X-Ray Images

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.

@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},
  volume    = {13},
  number    = {9},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Mohamed Shajahan and Siti Armiza Mohd Aris and Sahnius Usman and Norliza Mohd Noor},
  doi       = {10.14569/IJACSA.2022.0130932},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130932}
}