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Issue No.01 - January/February (2011 vol.31)
pp: 49-61
Moshe Ben-Ezra , Microsoft Research Asia
Emerging applications in virtual museums, cultural-heritage projects, and digital art preservation require high-quality, high-resolution imaging of objects with fine structure, shape, and texture. Large-format digital photography can provide such imaging. However, such photography presents unique challenges, particularly sensor-lens mismatch and extended depth of field. A new digital tile-scan large-format camera can acquire high-quality, high-resolution images of static scenes. It employs unique calibration techniques and a novel but simple algorithm for focal-stack processing of very large images with significant magnification variations. The camera automatically collects a set of overlapping focal stacks and processes them into a single high-resolution and extended-depth-of-field image.
sensors, high-resolution camera, gigapixel imaging, cultural heritage, focal stack, computer graphics, graphics and multimedia
Moshe Ben-Ezra, "A Digital Gigapixel Large-Format Tile-Scan Camera", IEEE Computer Graphics and Applications, vol.31, no. 1, pp. 49-61, January/February 2011, doi:10.1109/MCG.2011.1
1. K. Martinez et al., "Ten Years of Art Imaging Research," Proc. IEEE, vol. 90, no. 1, 2002, pp. 28–41.
2. R.N. Clark, Digital Cameras: Does Pixel Size Matter? 2008; index.html.
3. M. Watanabe and S. Nayar, "Telecentric Optics for Focus Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 12, 1997, pp. 1360–1365.
4. E. Hecht and A. Zajac, Optics, 3rd ed., Addison-Wesley, 1997.
5. S. Hasinoff et al., "Time-Constrained Photography," Proc. IEEE 12th Int'l Conf. Computer Vision (ICCV 09), IEEE CS Press, 2009, pp. 333–340.
6. E. Adelson et al., "Pyramid Methods in Image Pro-cessing," RCA Engineer, vol. 29, no. 6, 1984, pp. 33–41.
7. Y. Schechner and S. Nayar, "Multidimensional Fusion by Image Mosaics," Image Fusion: Algorithms and Applications, Academic Press, 2008, pp. 193–221.
8. R. Ng et al., Light Field Photography with a Handheld Plenoptic Camera, tech. report CSTR 2005-02, Computer Science Dept., Stanford Univ., 2005.
9. Z. Lu et al., "A Framework for Ultra High Resolution 3D Imaging," Proc. 2010 IEEE Conf. Computer Vision and Pattern Recognition (CVPR 10), IEEE CS Press, 2010, pp. 1205–1212.
10. S. Wang and W. Heidrich, "The Design of an Inexpensive Very High Resolution Scan Camera System," Computer Graphics Forum, vol. 23, no. 3, 2004, pp. 441–450.
11. S. Farsiu, M. Elad, and P. Milanfar, "Multiframe Demosaicing and Super-resolution from Under-sampled Color Images," Computational Imaging II, Proc. SPIE, vol. 5299, 2004, pp. 222–233.
12. R. Pandharkar, A. Kirmani, and R. Raskar, "Lens Aberration Correction Using Locally Optimal Mask Based Low Cost Light Field Cameras," Imaging Systems, Optical Soc. of America, 2010, paper IMC3.
13. D.J. Brady and N. Hagen, "Multiscale Lens Design," Optics Express, vol. 17, no. 13, 2009, pp. 10659–10674.
14. M. Ben-Ezra et al., "Penrose Pixels for Super-resolution," to be published in IEEE Trans. Pattern Analysis and Machine Intelligence.
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