This Article 
 Bibliographic References 
 Add to: 
A Digital Gigapixel Large-Format Tile-Scan Camera
January/February 2011 (vol. 31 no. 1)
pp. 49-61
Although the resolution of single-lens reflex (SLR) and medium-format digital cameras has increased in recent years, applications for cultural-heritage preservation and computational photography require even higher resolutions. Addressing this issue, a large-format cameras' large image planes can achieve very high resolution without compromising pixel size and thus can provide high-quality, high-resolution images.This digital large-format tile scan camera can acquire high-quality, high-resolution images of static scenes. It employs unique calibration techniques and a simple algorithm for focal-stack processing of very large images with significant magnification variations. The camera automatically collects overlapping focal stacks and processes them into a high-resolution, extended-depth-of-field image.

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.
1. J. Tonry et al., "Pan-Starrs and Gigapixel Cameras," Scientific Detectors for Astronomy 2005, Astrophysics and Space Science Library, vol. 336, Springer, 2006, pp. 53–62.
2. 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.
3. J. Kopf et al., "Capturing and Viewing Gigapixel Images," ACM Trans. Graphics, vol. 26, no. 3, 2007, pp. 93.

Index Terms:
Lenses,Cameras,Pixel,Image resolution,Microoptics,Image edge detection,Virtual reality,Museums,graphics and multimedia,sensors,high-resolution camera,gigapixel imaging,cultural heritage,focal stack,computer graphics
M Ben-Ezra, "A Digital Gigapixel Large-Format Tile-Scan Camera," IEEE Computer Graphics and Applications, vol. 31, no. 1, pp. 49-61, Jan.-Feb. 2011, doi:10.1109/MCG.2011.1
Usage of this product signifies your acceptance of the Terms of Use.