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 Qua...
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| Veröffentlicht in: | IAENG international journal of computer science 2022-02, Vol.49 (1), p.36 |
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| creator | Sun, Yuhao Mogos, Gabriela |
| description | 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. |
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| ispartof | IAENG international journal of computer science, 2022-02, Vol.49 (1), p.36 |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Computed tomography Distortion Evaluation Eye (anatomy) Image contrast Image quality Mathematical analysis Mathematical models Medical imaging Quality assessment |
| title | Impact of Visual Distortion on Medical Images |
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