Open AccessResearch on Subjective Evaluation Index of Infrared Image Processing Quality
Author(s) -
Hanwen Xu,
Lanlin Zou,
Changyu Yao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/4/042005
Subject(s) - computer science , artificial intelligence , stereoscopy , image quality , computer vision , observer (physics) , index (typography) , rendering (computer graphics) , evaluation methods , quality (philosophy) , image (mathematics) , reliability engineering , engineering , philosophy , physics , epistemology , quantum mechanics , world wide web
With the continuous development of image technology, the quality of image processing has also been greatly improved. But its evaluation index is limited to objective evaluation, which results in high image quality but poor visual quality. However, subjective evaluation does not have specific indicators, it cannot be quantitatively detected, and it is poorly informatized and highly dependent on the observer’s knowledge background and emotions. Therefore, this study has conducted research on subjective evaluation, and proposed to use three-dimensional volume rendering and reconstruction as the auxiliary index of subjective evaluation to achieve the effect of stereoscopic image and reduce the degree of subjective dependence on the observer. The experimental analysis shows that the method has high practical application value and obvious effect, and can be used as an auxiliary index for subjective evaluation.