Suppr超能文献

对扫描矢量成像传感器捕获的运动扭曲隔行图像进行配准。

Registration of motion-distorted interlaced images captured by a scanning vector imaging sensor.

作者信息

Avrin A, Stern A, Kopeika N S

机构信息

Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Israel.

出版信息

Appl Opt. 2006 Aug 10;45(23):5950-9. doi: 10.1364/ao.45.005950.

Abstract

We present an algorithm to realign images distorted by motion and vibrations captured in cameras that use a scanning vector sensor with an interlaced scheme. In particular, the method is developed for images captured by a staggered time delay and integration camera distorted by motion. The algorithm improves the motion-distorted image by adjusting its fields irrespective of the type of motion that occurs during the exposure. The algorithm performs two tasks: estimation of the field relative motion during the exposure by a normal least-squares estimation technique and improvement of the degraded image from such motion distortion. The algorithm uses matrix computations; therefore it has a computation advantage over algorithms based on the technique of searching for a match. The algorithm is successfully demonstrated on both simulated and real images.

摘要

我们提出了一种算法,用于对使用带有隔行扫描方案的扫描矢量传感器的相机所捕获的因运动和振动而失真的图像进行重新对齐。特别是,该方法是针对由交错时间延迟积分相机捕获的、因运动而失真的图像而开发的。该算法通过调整图像场来改善因运动而失真的图像,而不管曝光期间发生的运动类型如何。该算法执行两项任务:通过普通最小二乘估计技术估计曝光期间场的相对运动,以及改善因这种运动失真而退化的图像。该算法使用矩阵计算;因此,与基于匹配搜索技术的算法相比,它具有计算优势。该算法在模拟图像和真实图像上均得到了成功验证。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验