Image mosaic at pixel level

Nian Zhu; Jun Zhang; Senyuan Fu; Fei Hou; Xiaomao Liu; Jinwen Tian

doi:10.1117/12.2031489

26 October 2013 Image mosaic at pixel level

Nian Zhu, Jun Zhang, Senyuan Fu, Fei Hou, Xiaomao Liu, Jinwen Tian

Author Affiliations +

Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 891711 (2013) https://doi.org/10.1117/12.2031489
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

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.

Citation Download Citation

Nian Zhu, Jun Zhang, Senyuan Fu, Fei Hou, Xiaomao Liu, and Jinwen Tian "Image mosaic at pixel level", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 891711 (26 October 2013); https://doi.org/10.1117/12.2031489

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