88 New Hybrid Filtering Methods To Remove Noise From Digital Images Ahmmad Ramadhan Rasheed 1,* , Essa Ibrahim Essa 1 , Borhan F. Jumaa 1 1 Department of Computer Science, College of Computer Science and Information Technology, University of Kirkuk, Kirkuk, Iraq Article information Article history: Received: August, 25, 2022 Accepted: September, 05, 2022 Available online: October, 10, 2022 Keywords: Hybrid Filtering, Salt and Pepper Noise, Digital Topology, Tumor Image Detection, Median Filter. *Corresponding Author: Ahmmad Ramadhan Rasheed ahmmadramadhan81@gmial.com Citation: Rasheed, A., Essa , E. I. ., & Jumaa, B. F. (2022). "New hybrid Filtering Methods to remove noise from Digital Images", Journal of Advanced Sciences and Nanotechnology, 1(4), 88– 101. Abstract Using hybrid digital filtering techniques reduces the amount of time a patient is exposed to radiation. If the patient is exposed to radiation for an extended length of time, his life will be jeopardized. Noise reduction in the photos is necessary when asked to lower the high radiation dosage and time it takes, which hides some of the right information from the physician and makes it difficult for him to appropriately analyze it. As a consequence, pre-processing has become the most significant item in digital image processors, and in this research, we offer a novel hybrid technology approach to decrease noise caused when photos are captured with medical equipment or when they are transferred. While respecting the image's edges, the resulting noise of the salt and pepper type. The statistical quantity measurements, Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE) are used to assess the enhanced picture quality. To illustrate this method, take 0.08 salts and pepper noise and compute it as Mean Square Error (MSE) it becomes 2.58 and PSNR 202.67, which indicates that this method is better than others at removing higher noise. DOI: 10.55945/joasnt.2022.1.4.88-101, ISSN: 2791-0903/© This is an open access article under the CC BY License. 1. Introduction. Digital images have grown more common in a variety of fields in recent years, including medicine, scientific experimentation, education, and so on. As part of their everyday operations, hospitals, and medical institutions generate a large number of magnetic resonance imaging (MRI), digital pictures such as x-rays, and mammograms [1]. Several digital image applications are extensively or regularly utilized, including x-rays, magnetic resonance imaging, ultrasound, computed tomography, and ceroscopy images (DI) [2].Unfortunately, a number of noises can cause problems with medical imaging. Gaussian, Pepper and Salt noise, Poisson noise, and Impulse noise are among the harmful noises [3]. Journal of Advanced Sciences and Nanotechnology, Vol. 01, No. 04 (2022) Journal of Advanced Sciences and Nanotechnology