Pre-processing and enhancement techniques for COVID-19 X-ray and CT-scan medical images

Abstract

In medical diagnosis, medical imaging plays an important role, also plays a role in diagnosis and detection of chest diseases. The Pre-Processing techniques are an important step required to increase quality for Chest X-ray and CT medical images. These Techniques are used of improving the quality of the Covid19 x-ray and CT scan images. Medical images contain many unnecessary noise components in the scanned images’ actual format. Some of the image pre-processing techniques are needed to eliminate certain irritating sections of an image to properly visualize the images until specifically finding the diseases.The main aim of this paper is to apply pre-processing on the images of the lungs which includes images for Covid-19, Normal and pneumonia to improve the quality of the images. Image quality improvement is accomplished by the application of filtering techniques, noise reduction and contrast enhancement techniques. The proposed technique is evaluated by using Peak signal-to-noise ratio (PSNR), Mean Square Error (MSE), and Absolute Mean Brightness Error (AMBE) to evaluate the contrast enhancement of the image that has been processed. The results show that the used technique gives better images than original images.