VQualA 2025 Document Image Quality Assessment Challenge

This paper reports on the VQualA 2025 Document Image Quality Assessment Challenge, which will be held in conjunction with the Visual Quality Assessment Competition Workshop (VQualA) at ICCV 2025. This challenge is to address a major challenge in the field of image processing, namely, image quality assessment (IQA) for enhanced document images. The challenge uses the IQA Dataset for enhanced document images (DIQA-5000), which has a total of 5000 enhanced document images with human-annotated Mean Opinion Scores (MOS), including diverse combinations of document enhancement algorithms. The challenge has a total of 120 registered participants. 16 participating teams submitted their prediction results during the development phase, with a total of 183 submissions. A total of 97 submissions were submitted by 16 participating teams during the final testing phase. Finally, 7 participating teams submitted their models and fact sheets, and detailed the methods they used. Some methods have achieved better results than baseline methods, and the winning methods have demonstrated superior prediction performance.