An Empirical Study of Dehazing Techniques for Chest X-Ray in Early Detection of Pneumonia
Deepa Abin, Sudeep D. Thepade, Sanskruti Dhore · 2021 2nd International Conference for Emerging Technology (INCET) · 2021
Pneumonia is one of the major infectious disease which affects most of the population. In day-to-day life, the use of technologies is increasing rapidly. Imaging plays a major role in the detection of many diseases. Chest-X-Ray images in medical imaging play the main role in the diagnosis of pneumonia patients. But chest X-Ray images are not much clear and this creates a problem in the detection of pneumonia. Presents of haze can destroy the quality of these images. If the quality of an image is low, doctors may not able to predict early whether the Pneumonia present or not. This is the main reason because of which the mortality rate increases. Thus image dehazing techniques are used to improvise the quality. The main aim of this paper is to perform experimentation of dehazing techniques on X-Ray images and analyze the results which improve the quality of images.