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Comparison of Image Quality Assessment Methods for Multi-Focused Image Fusion

机译:多聚焦图像融合的图像质量评估方法的比较

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Image fusion is a process of obtaining one image from multiple. The resulting image carries more information about the photographed scene, than each of the originals. Such an image can be more useful when we deal with human or image processing system. Algorithms that performed this task are used in a wide applying in practical: computer vision, robotics, medicine, forensics, etc. Most popular quality assessment measure for multi-focused image fusion are discribed. Expert image quality assessment experiment was performed. Different kinds of image quality assessment were proposed for scenes with various characteristics.
机译:图像融合是从多个获取一个图像的过程。得到的图像与每个原稿一起携带有关拍摄场景的更多信息。当我们处理人或图像处理系统时,这种图像可能更有用。执行此任务的算法用于实际应用中的广泛应用:计算机视觉,机器人,医药,取证等。多数聚焦图像融合的最受欢迎的质量评估措施被偏离。进行专家图像质量评估实验。提出了不同种类的图像质量评估,用于各种特征的场景。

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