Color image database for evaluation of image quality metrics
Color image database for evaluation of image quality metrics
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DOI：
10.1109/mmsp.2008.4665112
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发表时间：
2008-11
期刊：
影响因子：
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通讯作者：
N. Ponomarenko;V. Lukin;K. Egiazarian;J. Astola;M. Carli;F. Battisti
中科院分区：
文献类型：
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作者：
N. Ponomarenko;V. Lukin;K. Egiazarian;J. Astola;M. Carli;F. Battisti
在这方面的贡献，一个新的图像数据库测试全参考图像质量评估指标。它基于1700个测试图像（25个参考图像，每个参考图像有17种失真类型，每种失真类型有4个级别）。使用这个图像数据库，来自三个不同国家（芬兰，意大利和乌克兰）的654名观察员进行了约40万个人的人的质量判断（超过200判断为每个扭曲的图像）。所获得的平均意见分数所考虑的图像可以用于评估的视觉质量指标的性能，以及比较和新的指标的设计。载有测试结果的数据库免费提供。
In this contribution, a new image database for testing full-reference image quality assessment metrics is presented. It is based on 1700 test images (25 reference images, 17 types of distortions for each reference image, 4 levels for each type of distortion). Using this image database, 654 observers from three different countries (Finland, Italy, and Ukraine) have carried out about 400000 individual human quality judgments (more than 200 judgments for each distorted image). The obtained mean opinion scores for the considered images can be used for evaluating the performances of visual quality metrics as well as for comparison and for the design of new metrics. The database, with testing results, is freely available.