Browse > Article

Spatial Resolution and Dynamic Range Enhancement Algorithm using Multiple Exposures  

Choi, Jong-Seong (School of Electrical and Electronic Engineering, Yonsei University)
Han, Young-Seok (School of Electrical and Electronic Engineering, Yonsei University)
Kang, Moon-Gi (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Abstract
The approaches to overcome the limited spatial resolution and the limited dynamic range of image sensors have been studied independently. A high resolution image is reconstructed from multiple low resolution observations and a wide dynamic range image is reconstructed from differently exposed multiple low dynamic range in es based on signal processing approach. In practical situations, it is reasonable to address them in a unified context because the recorded image suffers from limitations of both spatial resolution and dynamic range. In this paper, the image acquisition process including limited spatial resolution and limited dynamic range is modelled. With the image acquisition model, the response function of the imaging system is estimated and the single image of which spatial resolution and dynamic range are simultaneously enhanced is obtained. Experimental results indicate that the proposed algorithm outperforms the conventional approaches that perform the high resolution and wide dynamic range reconstruction sequentially with respect to both objective and subjective criteria.
Keywords
Image Reconstruction; Dynamic Range; Spatial Resolution; Camera Response Function;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. Aggarwal, N. Ahuja, "Split aperture imaging for high dynamic range". Proc. IEEE International Conference on Computer Vision, 2001. (ICCV 2001.), pp. 10-17, Jul. 2001
2 C. Kolb, D. Mitchell, P. Hanrahan, "A Realistic Camera Model for Computer Graphics", Computer Graphics, Proceedings of SIGGRAPH '95, pp. 317-324, 1995
3 L. J. van Viley and C. L. L. Hendriks, "Improving spatial resolution in exchange of temporal resolution in aliased image sequences", Proc. of 11th Scandinavian Conf. on Image Analysis, pp. 493-499, 1999
4 M. G. Kang, "Generalized multichannel image deconvolution approach and its applications", Optical Engineering, 37(11), pp. 2953-2964, 1998   DOI
5 P. E. Debevec and J. Malik, "Recovering High Dynamic Range Radiance Maps from Photographs", SIGGRAPH 97 Conference proceedings, pp. 369-378. Aug. 1997
6 P. E. Eren, M. I. Sezan, and A. M. Tekalp, "Robust, object based high-resolution image reconstruction from low-resolution video", IEEE Trans. on Image Processing, 6(10), pp. 1446-1451, 1997   DOI   ScienceOn
7 A. J. Patti and Y. Altunbasak, "Artifact reduction for set theoretic super resolution image reconstruction with edge adaptive constraints and higher-order interpolants", IEEE Trans. on Image Processing, 10(1), pp. 179-186, 2001   DOI   ScienceOn
8 M. A. Robertson, S. Borman, and R. L. Stevenson, "Dynamic Range Improvement through Multiple Exposures", Proc. IEEE International Conference on Image Processing 1999. (ICIP 99.), 3, pp. 159-163, Oct. 1999
9 R. Y. Tsai and T. S. Huang, "Multipleframe image restoration and registration", Advances in Computer Vision and Image Processing, 1, pp 317-339, 1984
10 S. H. Rhee and M. G. Kang, "Discrete cosine transform based regularized high-resolution image reconstruction algorithm", Optical Engineering, 38(8), pp. 1348-1356, 1999   DOI
11 S. k. Nayar and T. Mitsunaga, "High dynamic range imaging: spatially varying pixel exposures", Proc. IEEE Conference on Computer Vision and Pattern Recognition 2000, pp. 472-479, Jun. 2000
12 S. C. Park, M. K. Park, and M. G. Kang, "Super-resolution image reconstruction : A technical overview", IEEE Signal Processing Magazine, pp. 21-36, May, 2003
13 T. Tani, "Photography Sensitivity : Theory and Mechanisms", Oxford University Press, 1995
14 R. C. Hardie, K. J. Barnard, J. G. Bognar, E. E. Armstrong, and E. A. Watson, "High-resolution image reconstruction from a sequence of rotated and translated frames and its application to an infrared imaging system", Optical Engineering, 37(1), pp. 247-260, 1998   DOI   ScienceOn
15 Technical Report MS-CIS-93-96, "Extended Intensity Range Imaging", Grasp Laboratory, Univ. of Pennsylvania, 1993
16 M. C. Hong, M. G. Kang, and A. K. Katsaggelos, "An iterative weighted regularized algorithm for improving the resolution of video sequences", Proc. International Conference on Image Processing, 2, pp. 474-477, 1997