Impact of Visual Distortion on Medical Images

The distortion is a common occurrence in the imaging area, especially medical imaging. The most common kinds of distortion in medical imaging are blurry, contrast- and noise-distorted images. The purpose of this study is to provide a four-step technique for determining if current Objective Image Quality Assessment (IQA) mathematical models function as well as human eyes. Throughout the investigation, the appropriate quality and source of X-ray CT scans were chosen. The results indicate that the Perception-Based Image Quality Evaluator (PIQE) is a moderately effective mathematical model of NoReference IQA (NR-IQA). However, in comparison to PIQE, both the Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) and the Naturalness Image Quality Evaluator (NIQE) performed poorly when used with X-ray CT scans.