Image mosaic at pixel level

被引：0

作者：

Zhu, Nian ^{[1
]}

Zhang, Jun ^{[1
]}

Fu, Senyuan ^{[1
]}

Hou, Fei ^{[1
]}

Liu, Xiaomao

Tian, Jinwen ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sci & Technol Multispectral Informat Proc Lab, Wuhan 430074, Peoples R China

来源：

MIPPR 2013: MULTISPECTRAL IMAGE ACQUISITION, PROCESSING, AND ANALYSIS | 2013年 / 8917卷

关键词：

panorama; pixel level; image mosaic; image stitching;

D O I：

10.1117/12.2031489

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Image mosaic is brought up for improving the visual field of common camera which cannot fulfill practical requirement of ultra-wide-angle panoramic images. As widely known, to get mosaic images, two main steps should be considered, namely image alignment and stitching. Image stitching algorithms create the high-resolution photo-mosaics used to produce today's digital maps and satellite photos. In this paper, an image stitching process to detect and eliminate the pixel merges is improved and compared with some popular image stitching algorithms.

引用

页数：8

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