Abstract
In POCS (projection onto convex sets)-based reconstruction of HR (high resolution) image, the quality of reconstructed image is gradually improved through iterative motion estimation and image restoration. The amount of computation, however, increases because of the repeated inter-frame motion estimation. In this paper, an HR reconstruction algorithm is proposed where modified ARPS (adaptive rood pattern search) and POCS are simultaneously performed. In the modified ARPS, the motion estimates obtained from phase correlation or from the previous steps in POCS reconstruction are utilized as the initial reference in the motion estimation. Moreover, estimated motion is regularized with reference to the neighboring blocks’ motion to enhance the reliability. Computer simulation results show that, when compared to conventional methods which are composed of full search block matching and POCS restoration, the proposed method is about 30 times faster and yet produces HR images of almost equal or better quality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Borman, S., Stevenson, R.: Spatial resolution enhancement of low-resolution image sequences: A comprehensive review with directions for future research. Lab. Image and Signal Analysis, University of Notre Dame, Tech. Rep. (July 1998)
Mateos, J., Katsaggelos, A., Molina, R.: Simultaneous motion estimation and resolution enhancement of compressed low resolution video. In: Proceedings of International Conference IEEE Image Processing, 2000, vol. 2, pp. 653–656 (September 2000)
Hardie, R., Barnard, K., Armstrong, E.: Joint map registration and high-resolution image estimation using a sequence of undersampled images. IEEE Trans. on Image Processing 6, 1621–1633 (1997)
Schultz, R., Stevenson, R.: Extraction of high-resolution frames from video sequences. IEEE Trans. on Image Processing 5, 996–1011 (1996)
Kim, S., Bose, N., Valenzuela, H.: Recursive reconstruction of high resolution image from noisy undersampled multiframes. IEEE Trans. on Acoustics, Speech and Signal Proc. 38, 1013–1027 (1990)
Patti, A., Sezan, M., Tekalp, M.: Super resolution video reconstruction with arbitrary sampling lattices and non-zero aperture time. IEEE Trans. on Image Processing 6, 1064–1078 (1997)
Tekalp, A., Ozkan, M., Sezan, M.: High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration. In: IEEE ICASSP 1992, vol. 3, pp. 169–172 (1992)
Stark, H., Oskoui, P.: High-resolution image recovery from image-plane arrays, using convex projections. J. Opt. Soc. Amer. A 6, 1715–1726 (1989)
Kim, B., Song, H., Kim, T., Kim, Y.: Reconstruction of an hr image by simultaneous pocs and regularized block matching. In: SPIE, vol. 6794 (2007)
Nie, Y., Ma, K.: Adaptive rood pattern search for fast block-matching motion estimation. IEEE Trans. on Image Processing 11, 1442–1448 (2002)
Vandewalle, P., Sbaiz, L., Susstrunk, S., Vetterli, M.: Registration of aliased images for super-resolution imaging. In: SPIE, vol. 6077, pp. 13–23 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bong, W., Kim, Y.C. (2011). High Resolution Image Reconstructed by ARPS Motion Estimation and POCS. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Communications in Computer and Information Science, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24106-2_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-24106-2_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24105-5
Online ISBN: 978-3-642-24106-2
eBook Packages: Computer ScienceComputer Science (R0)