High-resolution images from compressed low-resolution video: Motion estimation and observable pixels

International Journal of Imaging Systems and Technology

Volumn 14, Issue 2, 2004, Pages 58-66

  Alvarez, L D ^a   Mateos, J ^a   Molina, R ^a   Katsaggelos, A K ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b Northwestern University   (United States)

Author keywords

Compressed low resolution video; High resolution image; Motion estimation; Observability map; Observable pixel

Indexed keywords

HIGH-RESOLUTION IMAGES; PIXELS; SUB-PIXEL SHIFTS; SUPER-RESOLUTION;

ALGORITHMS; IMAGE COMPRESSION; MATHEMATICAL MODELS; MOTION COMPENSATION; OBSERVABILITY; OPTICAL RESOLVING POWER; SIGNAL TO NOISE RATIO;

IMAGING TECHNIQUES;

EID: 4544304211     PISSN: 08999457     EISSN: None     Source Type: Journal    
DOI: 10.1002/ima.20008     Document Type: Article

References (34)

1. S. Borman, and R. Stevenson, 1998. Spatial resolution enhancement of low-resolution image sequences a comprehensive review with directions for future research. Technical Report, Laboratory for Image and Signal Analysis (LISA), University of Notre Dame, Notre Dame, IN, Jul 1998.
2. S. Chaudhuri, Ed. 2001. Super-Resolution Imaging. Kluwer Academic: Boston, 2001.
3. B.K. Gunturk, Y. Altunbasak, and R. Mersereau R, 2001. Bayesian resolution-enhancement framework for transform-coded video. Proc IEEE Int Conf Image Process Thessaloniki, Greece, 2001, vol 2, pp 41-44.
4. M.G. Kang, and S. Chaudhuri, Eds. 2003. Super-resolution image reconstruction. IEEE Signal Process Mag, 20(3).
5. A.K. Katsaggelos, and N.P. Galatsanos, (Ed.). 1998. Recovery Techniques for Image and Video Compression, Kluwer Academic: Boston, 1998.
6. C.J. Kuo, and R.J. Hsich, Adaptive postprocessor for block encoded images. IEEE Trans Circuits Syst Video Technol 5(4):322-336.
7. D.G. Luenberger, 1984. Linear and nonlinear Programming. Addison-Wesley: Pu Reading, MA, 1984.
8. J. Luo, C.W. Chen, K.J. Parker, and T. Huang, 1996. Artifact reduction in low bit rate DCT-based image compression. IEEE Trans Circuits Syst Video Technol 5(9):1363-1368.
9. J. Mateos, A.K. Katsaggelos, and R. Molina, 2000a. A bayesian approach for the estimation and transmission of regularization parameters for reducing blocking Artifacts. IEEE Trans Image Process 9(7):1200-1215.
10. J. Mateos, A.K. Katsaggelos, and R. Molina, 2000b. Resolution enhancement of compressed low resolution video. In Proc IEEE Inte Conf Acoustics, Speech and Signal Process Istanbul, Turkey 2000, Vol. 4, pp. 1919-1922.
11. J. Mateos, A.K. Katsaggelos, and R. Molina, 2000c. Simultaneous motion estimation and resolution enhancement of compressed low resolution video. In Proc IEEE Int Conf Image Process Vancouver, Canada Vancouver, 2000, Vol 2, pp. 653-656.
12. J. Mateos, R. Molina, and A.K. Katsaggelos, 2003. Bayesian High-resolution image reconstruction with incomplete multisensor low-resolution systems. In Proc IEEE Int Conf Acoustic, Speech and Signal Process, 2003, Vol. III, pp. 705-708.
13. R. Molina, M. Vega, J. Abad, and A.K. Katsaggelos, 2003. Parameter estimation in Bayesian high-resolution image reconstruction with multisensors. IEEE Trans Image Process 12(12):1655-1667.
14. T.P. O'Rourk TP, and R.L. Stevenson, 1995. Improved image decompression for reduced transform coding artifacts. IEEE Trans Circuits Syst Video Technol 5(6):490-499.
15. T. Ozcelik, J.C. Brailean, and A.K. Katsaggelos, 1995. Image and video compression algorithms based on recovery techniques using mean field annealing. Proc IEEE, 83(2):304-316.
16. A.J. Patti, and Y. Altunbasak, 1999. Super-resolution image estimation for transform coded video with application to MPEG in Proc IEEE Int Conf Image Process Kobe, Japan, 1999, vol. 3, pp. 179-183.
17. B. Ramamurthi, and A. Gersho, 1986. Nonlinear space variant post-processing of block coded images. IEEE Trans Acoustics, Speech, Signal Process 34(5):1258-1267.
18. S.J. Reeves, and S.I. Eddins, 1993. Comments on iterative procedures for reduction of blocking effects in transform coding. IEEE Trans Circuits Syst Video Technol 3(6):439-440.
19. H.C. Reeves, and J.S. Lim, 1984. Reduction of blocking effects in image coding. Optical Eng 23(1):34-37.
20. R. Rosenholtz, and A. Zakhor, 1992. Iterative procedures for reduction of blocking effects in transform image coding. IEEE Trans Circuits Syst Video Technol 2(1):91-94.
21. K. Sauer, 1991. Enhancement of Low bit-rate coded images using edge detection and estimation. CVGIP: Graph Models Image Process 53(1):52-62.
22. R.R. Schultz, and R.L. Stevenson, 1994. A Bayesian approach to image expansion for improved definition. IEEE Trans Image Process 3(3):233-242.
23. R.R. Schultz, and R.L. Stevenson, 1996. Extraction of high-resolution frames from video sequences. IEEE Trans Image Process 5(6):996-1011.
24. C.A. Segall, and A.K. Katsaggelos, 2000. Enhancement of compressed video using visual quality metrics. In Proc IEEE Int Conf Image Process Vancouver, Canada, 2000, Vol 2, pp. 645-648.
25. C.A. Segall, A.K. Katsaggelos, R. Molina, and J. Mateos, 2001. Super-resolution from compressed video, 9 In Chaudhuri S, Ed. Super-Resolution Imaging. Kluwer Academic: Boston, 2001, pp. 211-242.
26. C.A. Segall, R. Molina, and A.K. Katsaggelos, 2003. High-resolution images from low-resolution compressed video. IEEE Signal Process Mag 20(3):37-48.
27. C.A. Segall, R. Molina, A.K. Katsaggelos, and J. Mateos, 2001. Bayesian high-resolution Reconstruction of Low-Resolution Compressed Video. In Proc IEEE Int Conf Image Process Thessaloniki, Greece, 2001, Vol. 2, pp. 25-28.
28. C.A. Segall, R. Molina, A.K. Katsaggelos, and J. Mateos, 2002. Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations. In Proc IEEE Int Conf Acoustics, Speech, and Signal Process 2002, Vol 2, pp. 1701-1704.
29. C.A. Segall, R. Molina, A.K. Katsaggelos, and J. Mateos, 2004. Bayesian resolution enhancement of compressed video. IEEE Trans Image Process, to appear, 2004.
30. A.M. Tekalp, 1995. Digital Video Processing. Signal Processing Series. Prentice Hall 1995.
31. S.W. Wu, and A. Gersho, 1992. Improved decoder for transform coding with application to the JPEG baseline system. IEEE Trans Commun 40:251-254.
32. Y. Yang, and N.P. Galatsanos, 1998. Removal of compression artifacts using projections onto convex sets and line process modeling. IEEE Trans Image Process 6(10):1345-1357.
33. Y. Yang, N.P. Galatsanos, A.K. Katsaggelos, 1993. Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images. IEEE Trans Circuits Syst Video Technol 3(6):421-432.
34. Y. Yang, N.P. Galatsanos, A.K. Katsaggelos, 1995. Projection-based spatially adaptive reconstruction of block-transform compressed images. IEEE Trans Image Proc 4(7):896-908.