Single frame image super-resolution: Should we process locally or globally?

Multidimensional Systems and Signal Processing

Volumn 18, Issue 2-3, 2007, Pages 123-152

  Jiji, C V ^a   Chaudhuri, Subhasis ^a   Chatterjee, Priyam ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Aliasing; Contourlet decomposition; Edge primitives; Filter banks; Image interpolation; Principal components; Super resolution; Wavelet

Indexed keywords

FILTER BANKS; IMAGE RECONSTRUCTION; INTERPOLATION; PRINCIPAL COMPONENT ANALYSIS; SPURIOUS SIGNAL NOISE; WAVELET TRANSFORMS;

CONTOURLET DECOMPOSITION; EDGE PRIMITIVES; IMAGE INTERPOLATION; SUPER-RESOLUTION;

IMAGE ANALYSIS;

EID: 34248584649     PISSN: 09236082     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11045-007-0024-1     Document Type: Conference Paper

References (37)

1. Bertalmio, M., Caselles, V., Sapiro, G., & Ballester, C. (2000). Image inpainting. In Proceedings of the SIGGRAPH. New Orleans, USA.
2. Bishop, C. M., Blake, A., & Marthi, B. (2003). Super-resolution enhancement of video. In International Conference on Artificial Intelligence and Statistics, Key West, Florida
3. Bose, N. K., Ng, M. K., & Yau, A. C. (2005). Super-resolution image restoration from blurred observations. In Proceedings of the ISCAS, (pp. 6296-6299). Kobe, Japan.
4. Burt, P. J., & Adelson, E. H. (1983). The Laplacian pyramid as a compact image code. IEEE Transactions on Communication, 31(4), 532-540.
5. Candes, E., Romberg, J., & Tao, T. (2006). Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 52(2), 489-509.
6. Chan, T., & Kang, S. H. (2004). Error analysis for image inpainting. UCLA CAM report 04-72.
7. Chang, H., Yeung, D. Y., & Xiong, Y. (2004). Super-resolution through neighbor embedding. In Proceedings of the IEEE conferences on computer vision and pattern recognition (pp. 275-282). Washington.
8. Chappalli, M. B., & Bose, N. K. (2005). Simultaneous noise filtering and super-resolution with second-generation wavelets. Signal Processing Letters, 12(11), 772-775.
9. Chaudhuri, S., & Joshi, M. V. (2005). Motion-free super-resolution. New york: Springer.
10. Do, M. N. (2001). Directional multiresolution image representations. Ph.D. thesis. Lausanne, Switzerland: Swiss Federal Institute of Technology.
11. Do, M. N., & Vetterli, M. (2005). The contourlet transform: An efficient directional multiresolution image representation. IEEE Transactions on Image Processing, 14(12), 2091-2106.
12. 1 minimization. The Proceedings of the National Academy of Sciences, 100, 2197-2202.
13. Elad, M., & Feuer, A. (1997). Restoration of a single superresolution image from several blurred, noisy and undersampled measured images. IEEE Transactions on Image Processing, 6(1.2), 1646-1658.
14. Freeman, W. T., Jones, T. R., & Pasztor, E. C. (2002). Example-based super-resolution. IEEE Computer Graphics and Applications, 22(2), 56-65.
15. Gerchberg, R. W. (1974). Super-resolution through error energy reduction. Optica Acta, 21, 709-720.
16. Harris, J. L. (1964). Diffraction and resolving power. Journal of Optical Society America, 54, 931-936.
17. Jain, A. K. (2001). Fundamentals of digital image processing. Upper Saddle River: Prentice Hall of India Private Limited.
18. Jiji, C. V., & Chaudhuri, S. (2004). PCA based generalized interpolation for image super-resolution. In Proceedings of the Indian conference on computer vision graphics and image processing, (pp. 139-144). Kolkata
19. Jiji, C. V., & Chaudhuri, S. (2006). Single frame image super-resolution through contourlet learning. EURASIP Journal of Applied Signal Processing, 2006, 1-11.
20. Jiji, C. V., Joshi, M. V., & Chaudhuri, S. (2004). Single frame image super-resolution using learned wavelet coefficients. International Journal of Imaging Systems and Technology, 14(3) 105-112.
21. Kim, S. P., & Bose, N. K. (1990). Reconstruction of 2-D bandlimited discrete signals from nonuniform samples. IEE Proceedings, 137,pt. F, (3), 197-204.
22. Levy, S., & Fullagar, P. K. (1981). Reconstruction of a sparse spike train from a portion of its spectrum and application to high-resolution deconvolution. GEOPHYSICS, 46(9), 1235-1243.
23. Lin, Z., & Shum, H. Y. (2004). Fundamental limits of reconstruction-based super-resolution algorithms under local translation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(1),83-91.
24. Papoulis, A. (1975). A new algorithm in spectral analysis and band-limited extrapolation. IEEE Transactions on Circuits and Systems, CAS-22(9), 735-742.
25. Park, S. C., Park, M. K., & Kang, M. G. (2003). Super-resolution image reconstruction: A technical overview. IEEE Signal Processing Magazine, Special issue of Super-Resolution Image Reconstruction, 20(3), 21-36.
26. Phoong, S. M., Kim, C. W., Vaidyanathan, P. P., & Ansari, R. (1995). A new class of Two-channel biorthogonal filter banks and wavelet bases. IEEE Transactions on Signal Processing, 43(3), 649-665.
27. Pickup, L. C., Roberts, S. J., & Zisserman, A. (2004). A sampled texture prior for image super-resolution. In S. Thrun, L. Saul, & B. Scholkopf (Eds.), Advances in neural information processing systems 16, (pp. 1587-1594). Cambridge, MA: MIT Press.
28. Rajagopalan, & Chaudhuri, S. (1998). Performance analysis of maximum likelihood estimator for recovery of depth from defocused images and optimal selection of camera parameters. International Journal of Computer Vision, 30(3), 175-190.
29. Rajan, D., & Chaudhuri, S. (2002). Generation of super-resolution images from blurred observations using an MRF model. Journal of Mathematical Imaging and Vision, 16, 5-15.
30. Roweis, S. T., & Saul, L. K. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2323-2326.
31. Santosa, F., & Symes, W. W. (1986). Linear inversion of band-limited reflection seismograms. SIAM Journal of Scientific, and Statistical Computing, 7, 1307-1330.
32. Shahram, M., & Milanfar, P. (2004). Imaging below the diffraction limit: A statistical analysis. IEEE Transactions on Image Processing, 13(5), 677-689.
33. Strohmer, T. (1995). On discrete band-limited signal extrapolation. Contemporary Mathematics, 190, 323-337.
34. Strohmer, T. (1997). Computationally attractive reconstruction of bandlimited images from irregular samples. IEEE Transactions on Image Processing, 6(4), 540-548.
35. Turk, M., & Pentland, A. (1991). Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1), 71-86.
36. Vandewalle, P., Susstrunk, S., & Vetterli, M. (2003). Superresolution images reconstructed from aliased images. In T. Ebrahimi & T. Sikora (Eds.), SPIE/IS&T visual communication and image processing conference, vol. 5150 (pp. 1398-1405).
37. Vetterli, M., & Herley, C. (1992). Wavelets and filter banks: Theory and design. IEEE Transactions on Signal Processing, 40(9), 2207-2232.