Objective evaluation of images is one of the most essential and practical aspects of image inpainting. The existing objective evaluation methods of image inpainting are functional only on an individual basis and do not provide an accurate and useful objective evaluation of inpainted images. Currently, there is no objective measure for evaluating inpainted images. In this study, an objective evaluation method was developed for image inpainting. In the proposed method, first, 100 images were inpainted using an exemplar-based algorithm. Then, the saliency map and its complementary region in the original image were obtained and a new objective measure was proposed for the evaluation of inpainted images based on the saliency map features. To make the assessment more realistic and comparable to human judgments, two terms, namely penalty and compensation, were taken into account. To assess the performance of our proposed objective measure, the inpainted images were also evaluated using a subjective test. The experiments demonstrates that the proposed objective measure correlated with the qualitative opinion in a human observer study. Finally, the objective measure was compared against three other measures, and the results showed that our proposed objective measure performed better than the other evaluation measures.

图像的客观评估是图像修复的最基本，最实用的方面之一。现有的图像修复的客观评估方法仅在单个基础上起作用，并且不能提供对修复的图像的准确和有用的客观评估。当前，没有客观的手段来评估修复的图像。在这项研究中，为图像修复开发了一种客观的评估方法。在提出的方法中，首先，使用基于示例的算法修复了100张图像。然后，获得了显着图及其在原始图像中的互补区域，并基于显着图特征提出了一种新的客观指标来评价修复图像。为了使评估更切合实际并且可以与人类的判断相提并论，两个术语是惩罚和赔偿，被考虑在内。为了评估我们提出的客观测量的性能，还使用主观测试对修复的图像进行了评估。实验表明，拟议的客观测量与人类观察者研究中的定性意见相关。最后，将客观指标与其他三个指标进行了比较，结果表明，我们提出的客观指标表现优于其他评估指标。