计算机工程与应用2025，Vol.61Issue(14)：54-64,11.DOI:10.3778/j.issn.1002-8331.2411-0209
红外图像生成中语义失真改善技术综述
Review of Semantic Distortion Improvement Techniques in Infrared Image Generation
摘要
Abstract
With the development of infrared technology,the infrared image generation method based on visible image translation has become an effective way to obtain infrared data sources in various application fields.However,the large modal difference between visible images and infrared images tends to cause semantic distortion of different degrees in the generated images,bringing difficulties to downstream tasks.Based on the in-depth research of the deep generative models employed in infrared image generation,this paper provides a comprehensive summary of the methods and principles that mitigate semantic distortion.Theoretical insights are integrated to elaborate the evaluation metrics and experimental comparisons.This paper analyzes the purpose and applicability of different methods in image translation.Additionally,it discusses the current challenges and future directions in infrared image generation tasks.关键词
红外与可见光/图像生成/图像转换/语义失真Key words
infrared and visible/image generation/image translation/semantic distortion分类
信息技术与安全科学引用本文复制引用
徐临楷,耿蕊..红外图像生成中语义失真改善技术综述[J].计算机工程与应用,2025,61(14):54-64,11.
