Denoising and Quality Enhancement of CT Scan/X-Ray Images of Lung Disease for Enhanced Diagnosis

Medical imaging is crucial in a variety of medical fields and at all major levels of health care. Medical imaging is necessary to track the progress of an ongoing illness. Further, it plays a pivotal role in assisting the surgeons and physicians in diagnosing the diseases. These days the medical field predominantly depends on scanned images for accurate diagnosis or for research purposes. These images are ingrained with various kinds of noises which are inevitable. Diagnosis of these kinds of images leads to varied perception. For efficient and accurate diagnosis, these images should be denoised with edge-preserving methods. Reducing the noise without losing the content of images is a challenging task. Various techniques are used to suppress the noise with each technique having their own merits and limitations. In this paper, we employed various filtering and contrast enhancement techniques to eradicate salt and pepper noise, Gaussian noise, uniform noises, and enhanced image quality.