Single Image High Resolution Using L2-Regularization

Authors

  • Varsha Patil  Electronics and instrumentation Engineering, Dayananda Sagar College Of Engineering, Bengaluru, Karnataka, India

Keywords:

Single Image Super-Resolution, Sparse Optimization, Single Image Super-Resolution, Deconvolution, Decimation

Abstract

Research on single image super resolution, which consists of improving a high-resolution image from its blurred, decimated and noisy version. The purpose of this review paper is to provide the knowledge of image enhancement or image scaling up and estimating a high-resolution image from a low-resolution image.

References

  1. C. Park, M. K. Park, and M. G. Kang, “Super-resolution image reconstruction: a technical overview,” IEEE Signal Process. Mag., vol. 20, pp. 21–36, 2003.
  2. Martin and J. M. Bioucas-Dias, “Hyperspectral compressive acquisition in the spatial domain via blind factorization,” in Proc. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Tokyo, Japan, June 2015.
  3. Yang and T. Huang, Super-resolution imaging. Boca Raton, FL, USA: CRC Press, 2010, ch. Image super-resolution: Historical overview and future challenges, pp. 20–34.
  4. Akgun, Y. Altunbasak, and R. M. Mersereau, “Super-resolution reconstruction of hyperspectral images,” IEEE Trans. Image Process., vol. 14, no. 11, pp. 1860–1875, 2005.
  5. Yanovsky, B. H. Lambrigtsen, A. B. Tanner, and L. A. Vese, “Efficient deconvolution and super-resolution methods in microwave imagery,”IEEE J. Sel. Topics Appl. Earth Observations and Remote Sens., vol. 8, no. 9, pp. 4273–4283, 2015.
  6. Morin, A. Basarab, and D. Kouame, “Alternating direction method of multipliers framework for super-resolution in ultrasound imaging,” in Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, May 2012, pp. 1595–1598.
  7. Yang, J. Wright, T. S. Huang, and Y. Ma, “Image super-resolution via sparse representation,” IEEE Trans. Image Process., vol. 19, no. 11, pp. 2861–2873, 2010.
  8. Glasner, S. Bagon, and M. Irani, “Super-resolution from a single image,” in Proc. IEEE Int. Conf. Comp. Vision (ICCV), Kyoto, Japan, 2009, pp. 349 – 356.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-05-08

Issue

Volume 4, Issue 6, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Varsha Patil, " Single Image High Resolution Using L2-Regularization, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.640-642, May-June-2018.