视觉退化场景下文本图像质量恢复与内容补全综述
Survey of Text Image Quality Restoration and Content Completion in Visually Degraded Scenarios
摘要
Abstract
In visually degraded scenarios,text image restoration aims to enhance both the visual quality and content integ-rity of images,and its core tasks can be categorized into two main types:image quality restoration and image content com-pletion.Among these,image quality restoration focuses on reversing the physical degradation process under the premise of a complete character sequence.Image content completion addresses situations where characters are partially or entirely missing,requiring the generation of visually consistent and semantically reasonable content based on contextual informa-tion.The primary objective of both tasks is to improve the overall quality of the images,thereby enhancing the readability,recognition accuracy,and information integrity of text images.In light of this,this paper provides a comprehensive and systematic summary of the research progress in this field.Firstly,for the task of image quality restoration,the review focuses on three primary directions,including super-resolution,geometric distortion correction,and image enhancement,with a discussion of their representative methods.Secondly,regarding the task of image content completion,the focus is placed on character-level completion generation,with a comparative analysis of two mainstream approaches:those based on glyph structure priors and those based on semantic context reasoning.Subsequently,the commonly used datasets and eval-uation metrics in the field are systematically summarized and compared,thereby revealing the existing limitations of cur-rent data resources in terms of scale,authenticity,and task adaptability.Finally,this paper provides the prospect of future research trends in the field,with an emphasis on the potential value of text image restoration in practical applications such as cultural heritage preservation,document digitization,and intelligent text processing,thereby offering valuable references for subsequent related practical applications.关键词
视觉退化场景/文本图像修复/文本图像数字化Key words
visually degraded scenarios/text image restoration/text image digitization分类
信息技术与安全科学引用本文复制引用
温慧,李艳玲,董杰,葛凤培..视觉退化场景下文本图像质量恢复与内容补全综述[J].计算机科学与探索,2026,20(8):2206-2222,17.基金项目
国家自然科学基金(62466046,62266033,12204062) （62466046,62266033,12204062）
无穷维哈密顿系统及其算法应用教育部重点实验室开放课题(2023KFZD03) （2023KFZD03）
内蒙古自然科学基金重点项目(2023ZD10) （2023ZD10）
"英才兴蒙"文化遗产智能化应用服务中华民族共同体建设项目 （）
"人工智能+研究生教育"创新试点校建设项目. This work was supported by the National Natural Science Foundation of China(62466046,62266033,12204062),the Project of Key Laboratory of Infinite-Dimensional Hamiltonian System and Algorithm Application(Inner Mongolia Normal University),Ministry of Education(2023KFZD03),the Natural Science Foundation of Inner Mongolia(2023ZD10),the"Yingcai Xingmeng"Project for Intelli-gent Application of Cultural Heritage in Serving the Construction of the Chinese National Community,and the"Artificial Intelligence+Graduate Education"Pilot University Construction Project. （62466046,62266033,12204062）
