CODED PIXELS - Random Coding of Pixel Shape for Super-resolution

Tomoki Sasao, Shinsaku Hiura, Kosuke Sato

Abstract

In this paper, we propose a technique to improve the performance of super-resolution by changing the effective shape of each pixel on the image sensor. Since the sampling of the incoming light by the usual image sensors is not impulse-shaped but rectangular, the high spatial frequency component of the latent image is lost through the integration effect of the pixel area. Therefore, by spraying black powder onto the image sensor we give each pixel shape a random code, which jointly aggregates the latent information of the observed scene. Experimental results show that the proposed random code greatly improves the quality of the reconstructed image.

References

  1. Ben-Ezra, M., Lin, Z., and Wilburn, B. (2007). Penrose pixels super-resolution in the detector layout domain. volume 0, pages 1-8. IEEE 11th International Conference on Computer Vision.
  2. Hardie, R., Barnard, K., and Armstrong, E. (1997). Joint map registration and high-resolution image estimation using a sequence of undersampled images. volume 6, pages 1621-1633. IEEE.
  3. Kuglin, C. (1975). The phase correlation image alignment methed. In Proc. Int. Conference Cybernetics Society, pages 163-165.
  4. Lee, D. and Seung, H. (2001). Algorithms for non-negative matrix factorization. volume 13, pages 556-562. MIT Pres.
  5. Richardson, W. (1972). Bayesian-based iterative method of image restoration. volume 62, pages 55-59. Optical Society of America.
  6. Tanaka, M. and Okutomi, M. (2005). Theoretical analysis on reconstruction-based super-resolution for an arbitrary psf. volume 2, pages 947-954. IEEE Computer Society.
Download


Paper Citation


in Harvard Style

Sasao T., Hiura S. and Sato K. (2012). CODED PIXELS - Random Coding of Pixel Shape for Super-resolution . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 168-175. DOI: 10.5220/0003817001680175


in Bibtex Style

@conference{visapp12,
author={Tomoki Sasao and Shinsaku Hiura and Kosuke Sato},
title={CODED PIXELS - Random Coding of Pixel Shape for Super-resolution},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={168-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003817001680175},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - CODED PIXELS - Random Coding of Pixel Shape for Super-resolution
SN - 978-989-8565-03-7
AU - Sasao T.
AU - Hiura S.
AU - Sato K.
PY - 2012
SP - 168
EP - 175
DO - 10.5220/0003817001680175