HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment

• URL: http://arxiv.org/abs/2501.01116v1
• Date: Thu, 02 Jan 2025 07:30:17 GMT
• Title: HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment
• Authors: Zitong Xu, Huiyu Duan, Guangji Ma, Liu Yang, Jiarui Wang, Qingbo Wu, Xiongkuo Min, Guangtao Zhai, Patrick Le Callet,
• Abstract summary: We introduce the first Image Quality Assessment Database for image Harmony evaluation (HarmonyIQAD) Based on this database, we propose a Harmony Image Quality Assessment (HarmonyIQA) to predict human visual preference for harmonized images. Experiments show that HarmonyIQA achieves state-of-the-art performance on human visual preference evaluation for harmonized images.
• Score: 66.17085272972885
• License:
• Abstract: Image composition involves extracting a foreground object from one image and pasting it into another image through Image harmonization algorithms (IHAs), which aim to adjust the appearance of the foreground object to better match the background. Existing image quality assessment (IQA) methods may fail to align with human visual preference on image harmonization due to the insensitivity to minor color or light inconsistency. To address the issue and facilitate the advancement of IHAs, we introduce the first Image Quality Assessment Database for image Harmony evaluation (HarmonyIQAD), which consists of 1,350 harmonized images generated by 9 different IHAs, and the corresponding human visual preference scores. Based on this database, we propose a Harmony Image Quality Assessment (HarmonyIQA), to predict human visual preference for harmonized images. Extensive experiments show that HarmonyIQA achieves state-of-the-art performance on human visual preference evaluation for harmonized images, and also achieves competing results on traditional IQA tasks. Furthermore, cross-dataset evaluation also shows that HarmonyIQA exhibits better generalization ability than self-supervised learning-based IQA methods. Both HarmonyIQAD and HarmonyIQA will be made publicly available upon paper publication.

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