X-Noiseguard Intelligent Noise Reduction for High-Fidelity X-Ray Imaging

Abstract

The presence of noise in images produced by medical imaging equipment is common and unavoidable. Image noise can obscure and stimulate pathology, even sometimes to the extent of making them diagnostically unusable. To minimize noise in medical images, it is essential to comprehend the sources of noise and how they occur. In this project, we have reviewed different sources of noise that are present in images produced in radiography and tomography imaging techniques, the causes, effects and the various ways that are employed in their reduction. In order to completely eliminate noise in radiological imaging systems, we recommend that detectors that are free from noise should be designed and incorporated into future imaging systems. For segmentation and classification if we need a better result we need to target a preprocessing technique which involves removal of noise. For better PSNR we will be using Gaussian filtering technique for noise removal