A new image stitching approach for resolution enhancement in camera arrays

M. Baygin, M. Karakose
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引用次数: 15

Abstract

The major developments in digital imaging are provided thanks to the development of a digital image sensor. Camera arrays are one of the studies in this area. The camera array is formed by combining a many image sensors having the same characteristics. High resolution and high speed imaging systems can be obtained by using camera arrays. In this paper, a new feature extraction based image stitching algorithm is presented to the camera arrays. One of the advantages of the proposed algorithm, the new high resolution single image is formed by using low resolution image sensors. In the study, camera arrays are formed in 2×4 size by utilizing a different number of image sensors having the same features. The images obtained from the camera arrays is combined with a new image stitching algorithm based on the feature extraction and matching. The performance of the proposed method was tested in real time and validated with experimental results. The results of the algorithm show that the proposed approach gives faster results than a well-known image stitching algorithm.
一种提高相机阵列分辨率的图像拼接新方法
数字成像的主要发展是由于数字图像传感器的发展。相机阵列是这一领域的研究之一。相机阵列由多个具有相同特性的图像传感器组合而成。采用相机阵列可以获得高分辨率和高速的成像系统。本文提出了一种基于特征提取的相机阵列图像拼接算法。该算法的优点之一是利用低分辨率图像传感器形成新的高分辨率单幅图像。在这项研究中,通过使用具有相同特征的不同数量的图像传感器,形成了2×4大小的相机阵列。将从相机阵列获取的图像与基于特征提取和匹配的图像拼接算法相结合。通过实验验证了该方法的有效性。实验结果表明,该方法比现有的图像拼接算法更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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