基于sift的2.5亿像素图像多帧超分辨率

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2016-10-01 DOI:10.1109/CISP-BMEI.2016.7852826

Katsuhisa Ogawa, Yuri Yamaguchi, Y. Iwamoto, X. Han, Yenwei Chen

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引用次数: 3

摘要

本文提出了一种基于sift的2.5亿像素图像的多帧超分辨率算法。在该方法中，我们首先使用SIFT算子检测每帧中的关键点。然后用最接近匹配的方法找出多帧图像之间的对应关系。使用相应的关键点将多帧图像配准到从多帧图像中随机选择的参考图像。配准后，将对齐后的多帧图像进行组合，形成高质量、高分辨率的图像。我们将该方法应用于佳能的2.5亿像素cmos图像传感器所获得的2.5亿像素图像的质量提升。

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SIFT-based multi-frame super resolution for 250 million pixel images

In this paper, we propose a SIFT-based multi-frame super resolution for 250 million pixel images. In the proposed method, we first use the SIFT operator to detect key points in each frame. Then we use a closest matching method to find the correspondence among multi-frame images. The corresponding key points are used to register multi-frame images to a reference image, which is randomly selected from the multi-frame images. After registration, we combine the aligned multi-frame images to form a high-quality and high-resolution image. We applied the proposed method to enhance the quality of 250 million pixel images, which is obtained by the Canon's 250Mpixel CMOS-image-sensor.

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2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

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