HIGH-RESOLUTION IMAGE GENERATION USING WARPING TRANSFORMATIONS

Gabriel Scarmana

Abstract

In recent years the emphasis for applications of 3D modelling has shifted from measurement to visualization. New communication and visualization technologies have created an important demand for photo-realistic content in 3D real-time animations, interactive fly-overs and walk-arounds, panoramic images, visualizations and simulations based on real-world data. These image-based approaches require acquisition procedures that are simple and flexible with the use of consumer photo- or video-cameras. Ideally the user should be able to move freely while acquiring the images with any device ranging from a mobile phone to a video camera. In this context, a device independent algorithm for the estimation of an enhanced resolution image from multiple low-resolution and distorted compressed video images having arbitrary views is proposed in this paper. This process of spatial image enhancement is demonstrated here in a controlled scenario whereby the different views of the same scene are warped, firstly, to a common orientation so that a rigorous least squares area-based matching technique can then compute the registration parameters needed for their accurate combination. The sequence is acquired using a digital camera in video mode, which samples the image of a static scene from different angles. The warping is an iterative process relying on manual intervention and is used here to compensate for the different range of scales and orientations of the low-resolution imagery. Once this imagery is brought into registration and complies with pre-established image correlation criteria, they are combined to recover a high-resolution composite. Although the quality and resolution of the sensor arrays used to capture digital data continue to evolve, it is important that any technique used to enhance spatial resolution must be device independent, thus capable of using input from not only low-resolution images but also from higher resolution devices.

References

  1. Bovik .A., 2005. Handbook of Image and Video Processing. Elsevier Academic press.
  2. Farsiu S., Robinson D., Elad M., and Milanfar P., 2004. Advances and Challenges in Super-Resolution International Journal of Imaging Systems and Technology, Volume 14, no 2.
  3. Fryer J. and McIntosh, K.L., 2001. Enhancement of Image Resolution in Digital Photogrammetry Photogrammetric Engineering & Remote Sensing, Vol.67, No.6.
  4. Gonzalez R.C. and Woods R.E., 2007. Digital Image Processing, Prentice Hall.
  5. Hendriks L. C. and van Vliet L.J., 1999. Resolution Enhancement of a Sequence of Undersampled Shifted Images Proceeding 5th Annual Conference of the Advanced School for Computing and Imaging, Delft.
  6. Pilgrim L.J., 1991. Simultaneous Three Dimensional Object Matching and Surface Difference Detection in a Minimally Restrained Environment PhD Thesis No. 066.08.1991. Department of Civil, Surveying and Environmental Engineering. The University of Newcastle, Australia.
  7. Reed T. R, 2005, Digital image sequence prpcessing, compression and analysis. BocaRaton, CRC Press.
  8. Russ C. J., 2007. The Image Processing Handbook, Published by CRC Press.
  9. Scarmana G. and Fryer J., 2006. Enhancing a Sequence of Facial Images by Combining Multiple Undersampled and Compressed Images The Photogrammetric Record 21(114): June.
  10. Spiegel M. R., Stephens L., 1999. Theory and Problems of Statistics Schaum's Outline Series, McGraw-Hill Book Company.
  11. Vandewalle P., Susstrunk S. and Vetterli M., 2005. A Frequency Domain Approach to Registration of Aliased Images with Application to Super-Resolution, EURASIP Journal on Applied Signal Processing.
  12. Zitova B. and Flusser J., 2003. Image registration methods: a survey, Image and Vision Computing, Elsevier Publisher, 21, June.
Download


Paper Citation


in Harvard Style

Scarmana G. (2009). HIGH-RESOLUTION IMAGE GENERATION USING WARPING TRANSFORMATIONS . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009) ISBN 978-989-674-007-8, pages 49-56. DOI: 10.5220/0002225900490056


in Bibtex Style

@conference{sigmap09,
author={Gabriel Scarmana},
title={HIGH-RESOLUTION IMAGE GENERATION USING WARPING TRANSFORMATIONS},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)},
year={2009},
pages={49-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002225900490056},
isbn={978-989-674-007-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)
TI - HIGH-RESOLUTION IMAGE GENERATION USING WARPING TRANSFORMATIONS
SN - 978-989-674-007-8
AU - Scarmana G.
PY - 2009
SP - 49
EP - 56
DO - 10.5220/0002225900490056