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Simple algorithm for correction of geometrically warped underwater images

机译:校正几何变形水下图像的简单算法

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摘要

A new algorithm for the turbulence degraded frames of an underwater object or scene to produce images with superior quality and higher resolution is presented. This approach is based on computing the centroid image of the sequence through an iterative scheme. A robust and fast optical flow technique is employed for pixel registration of all the frames against a reference frame and the pixel shift maps are determined. Using these shift maps, each distorted frame is restored through an image dewarping technique. A performance comparison between the proposed restoration approach and state-of-the-art is presented in terms of restoration time and accuracy. The effectiveness of the approach is demonstrated on both synthetic and real-world underwater videos.
机译:提出了一种新的算法,用于对水下物体或场景的湍流退化帧生成高质量和高分辨率的图像。该方法基于通过迭代方案计算序列的质心图像。采用鲁棒且快速的光流技术来针对参考帧对所有帧进行像素配准,并确定像素偏移图。使用这些移位图,通过图像变形技术可以恢复每个失真的帧。在恢复时间和准确性方面,提出了建议的恢复方法和最新技术之间的性能比较。在合成和真实世界的水下视频中都证明了该方法的有效性。

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