计算机与现代化Issue(4)：7-13,7.DOI:10.3969/j.issn.1006-2475.2017.04.002
基于光学成像模型的水下图像超分辨率重构
Underwater Image Super-resolution Reconstruction Based on Optical Imaging Model
摘要
Abstract
Now most super-resolution reconstruction algorithms are applied to atmospheric picture restoration.Taking the complexity of underwater optical environment into consideration, it is hard to perform direct processes towards scattering and attenuation caused by water simply by transplanting those super-resolution reconstruction algorithms to underwater images.In such condition, an underwater image super-resolution reconstruction algorithm based on optical imaging model is proposed by integrating different imaging models.Firstly, aiming at the severe degradation in image quality caused by light scattering in water, dark channel prior is used, based on underwater optical imaging model, to estimate scattered light and transmission in observed data to produce the result of noise estimation.Secondly, super-resolution reconstruction of projection onto convex sets is performed on the low-resolution image sequence from which scattered light is removed in order to produce a high-resolution image.At last, aiming at overcoming the decrease in intensity and blur caused by water so as to produce the restored image, light compensation is conducted on the high-resolution image using transmission.By comparing the reconstructed images produced by the proposed algorithm with those produced by classical super-resolution algorithms, quality improvement in restored images by our algorithm is proved in algorithm simulation.关键词
水下图像/超分辨率重构/光学成像模型/暗通道原理Key words
underwater image/super-resolution reconstruction/optical imaging model/dark channel prior分类
信息技术与安全科学引用本文复制引用
张颢,范新南,李敏,张学武..基于光学成像模型的水下图像超分辨率重构[J].计算机与现代化,2017,(4):7-13,7.基金项目
国家自然科学基金资助项目(61573128,61273170) （61573128,61273170）
国家重点研发计划项目(2016YFC0401606) （2016YFC0401606）
中央高校基本科研业务费专项资金项目(2015B25214) （2015B25214）
