Okarma Krzysztof, Chlewicki Wojciech, Kopytek Mateusz, Marciniak Beata, Lukin Vladimir
Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology in Szczecin, 70-313 Szczecin, Poland.
Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, 85-796 Bydgoszcz, Poland.
Entropy (Basel). 2021 Nov 17;23(11):1525. doi: 10.3390/e23111525.
Quality assessment of stitched images is an important element of many virtual reality and remote sensing applications where the panoramic images may be used as a background as well as for navigation purposes. The quality of stitched images may be decreased by several factors, including geometric distortions, ghosting, blurring, and color distortions. Nevertheless, the specificity of such distortions is different than those typical for general-purpose image quality assessment. Therefore, the necessity of the development of new objective image quality metrics for such type of emerging applications becomes obvious. The method proposed in the paper is based on the combination of features used in some recently proposed metrics with the results of the local and global image entropy analysis. The results obtained applying the proposed combined metric have been verified using the ISIQA database, containing 264 stitched images of 26 scenes together with the respective subjective Mean Opinion Scores, leading to a significant increase of its correlation with subjective evaluation results.
拼接图像的质量评估是许多虚拟现实和遥感应用中的一个重要元素，在这些应用中，全景图像既可以用作背景，也可以用于导航目的。拼接图像的质量可能会因多种因素而降低，包括几何失真、重影、模糊和颜色失真。然而，此类失真的特性与通用图像质量评估的典型特性不同。因此，为这类新兴应用开发新的客观图像质量指标的必要性变得显而易见。本文提出的方法基于一些最近提出的指标中使用的特征与局部和全局图像熵分析结果的组合。应用所提出的组合指标获得的结果已使用ISIQA数据库进行了验证，该数据库包含26个场景的264张拼接图像以及相应的主观平均意见得分，从而显著提高了其与主观评估结果的相关性。
