Low-Quality Image Enhancement and Restoration (Submission Deadline: Nov. 28, 2025)
低质量图像增强与复原
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Wenqi Ren | Yun Liu |
Sun Yat-sen University, China | Southwest University, China |
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Summary:
In computer vision tasks, high-quality images are essential for accurate interpretation and reliable analysis. However, in practical applications, image quality is often affected by complex environmental and imaging conditions, such as adverse weather including haze, fog, sandstorms, rain, and snow, as well as low-light conditions in marine or other dim environments. These factors can cause insufficient brightness, color distortion, blur, and reduced clarity, which significantly impair visual perception and subsequent intelligent analysis. Therefore, the enhancement and restoration of low-quality images have become a central research focus in image processing and computer vision, with important implications for applications in intelligent transportation, surveillance, medical imaging, and mobile vision systems. This special session aims to gather the latest research advances in the field, exploring cutting-edge algorithms, theoretical models, and practical applications. Researchers in this area are warmly encouraged to submit their work.
在计算机视觉任务中，高质量图像是确保信息准确理解与处理的关键前提。然而在实际应用中，图像往往受到复杂环境和成像条件的影响，例如雾霾、沙尘、雨雪等恶劣天气，以及海洋等弱光低照环境。这些因素会导致图像出现亮度不足、颜色失真、模糊和清晰度下降等问题，进而严重影响视觉感知与后续智能分析。由此，低质图像的增强与复原已成为图像处理与计算机视觉领域的核心研究方向，并对智能交通、安防监控、医疗成像及移动视觉等应用具有重要意义。本专题旨在汇聚该领域的最新研究成果，探讨前沿算法、理论模型与实际应用，诚挚欢迎相关领域的学者积极投稿。