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Proceedings Paper

Image mosaics system based on TMS320DM642
Author(s): Gui-Lan Feng; Wei-Jian Tian; You-Shan Qu; Wei Ge
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Paper Abstract

When the size of a needing scene is beyond the scope of an optical sensor, it is difficult to take the whole scene at the same time. In this case, the needing scene can be captured by several optical sensors at one time, the overlapped images can be taken. Using the images, the whole scene is reproduced. This paper presents a robust image mosaics method that employs wavelet transform technique. The new developed registration and fusion algorithm implemented automatically and simultaneously without known camera motion and focal length. Wavelet transform guarantees not only a global optimal solution, but also scale and transform invariance for image alignment. This feature guarantees that the scheme has higher performance than the traditional mosaic techniques. In the same time, the hardware structure and the software designing principle of the Image Mosaics System (IMS) based on the Digital Signal Processor are expounded. To further improve the image mosaics quality, an image enhancement approach is also employed. In the paper, the concept, algorithm and experiments are described. The test results showed that the IMS is efficient and accurate for acquisition of seamless mosaic of the overlapped images, and at the same time, is adaptive to the real-time requirements. An adaptive resolution, seamless and a wide field of view image can be acquired.

Paper Details

Date Published: 20 January 2006
PDF: 8 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 60272U (20 January 2006); doi: 10.1117/12.668302
Show Author Affiliations
Gui-Lan Feng, Xi'an Institute of Optics and Precision Mechanics (China)
Chinese Academy of Sciences (China)
Wei-Jian Tian, Xi'an Institute of Optics and Precision Mechanics (China)
Chinese Academy of Sciences (China)
You-Shan Qu, Xi'an Institute of Optics and Precision Mechanics (China)
Wei Ge, Xi'an Institute of Optics and Precision Mechanics (China)
Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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