数字海洋与水下攻防2025，Vol.8Issue(4)：390-400,11.DOI:10.19838/j.issn.2096-5753.2025.04.002
水下图像视野增强研究综述
Review of Underwater Image Field-of-View Enhancement Research
摘要
Abstract
To solve the problems of limited field of view and information deficiency in traditional underwater imaging,and to expand the effective visual range of the real underwater environment to provide a new perspective for subsequent research and to explore the development direction of technology,a review research method is adopted in this paper.Based on the technical implementation path,the underwater image field-of-view(FOV)enhancement is divided into two categories:underwater fisheye image correction and underwater image stitching.A systematic review and in-depth analysis of the principles,system composition and existing achievements of the two types of technologies are conducted from the perspectives of methodology and system architecture.The core contents and system architectures of the two types of technologies are clarified.The existing achievements are analyzed.Then,the image space extension and detail restoration are optimized to make up for the shortcomings of traditional underwater imaging.At the same time,the key challenges in current technological development are discussed.In summary,underwater image FOV enhancement technology,as an emerging technology that integrates image processing algorithms and underwater scene characteristics,can alleviate the problem of traditional underwater imaging FOV limitation,has significant application value.In addition,the key challenges of underwater image FOV are discussed and the potential directions for its future development are explored.关键词
水下图像/视野增强/鱼眼图像畸变校正/图像拼接Key words
underwater image/FOV enhancement/fisheye image correction/image stitching分类
信息技术与安全科学引用本文复制引用
庄培显,刘飞,童俊杰,王宸宇..水下图像视野增强研究综述[J].数字海洋与水下攻防,2025,8(4):390-400,11.基金项目
国家自然科学基金面上项目"基于先验知识与数据驱动景深估计模型的神经元提取研究"(62171252) （62171252）
国家自然科学基金青年科学基金项目"基于非参数层次贝叶斯景深估计模型的水下降质图像质量提升研究"(61701245). （61701245）
