Optical physics applications in remote sensing, image processing, and medicine: A critical analysis of methods for enhancing the quality of medical and satellite images

This research aims to explore the role of optical physics in remote sensing, image processing, and medical imaging, focusing on techniques to enhance the quality of satellite and medical images using optical physics principles. The impact of radiometric correction, frequency filtering, and spectral analysis on image accuracy was analyzed, alongside the application of artificial intelligence techniques to improve medical imaging, such as magnetic resonance imaging (MRI) and ultrasound imaging. The results showed that utilizing optical physics in image processing significantly contributes to improving analysis accuracy, whether in environmental and geographical applications or medical diagnostics, thereby opening new avenues for developing image processing technologies. Radiometric correction enhanced the spectrum precision of satellite imagery. Digital noise filtering techniques enhanced the quality of both medical and satellite photos by 30%. Contrast enhancement methods enabled the early detection of tumors by MRI. The implementation of AI enhanced diagnostic accuracy by 40% relative to traditional methods. Employ the median filter to maintain edges while eliminating noise. Utilize the Gaussian filter to eliminate smooth noise while preserving details. And can meticulously calibrate Wiener filter settings to address intricate noise.