Enhancing the Contrast of CT Medical Images by Employing a Novel Image Size Dependent Normalization Technique

Abstract

Employing an efficient contrast enhancement technique is considered as an essential step to improve the overall visual representation of clinical images, and as a consequence provides better diagnosis results. This paper employs an easy, fast and reliable technique to improve the contrast of different types of computed tomography (CT) medical images by applying the technique directly to the entire image and normalize it depending on its size in the spatial domain. The experiment is conducted on naturally degraded CT images collected from diverse medical imaging repositories. Likewise, a comparison is presented between the suggested approach and other popular contrast enhancement techniques. Besides, the accuracy is measured using the universal image quality index (UIQI) metric.