Image transformations and blurring

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 5, 2009, Pages 811-823

  Domke, Justin ^a   Aloimonos, Yiannis ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Reconstruction; Restoration; Sharpening and deblurring; Smoothing

Indexed keywords

AFFINE MATRICES; IMAGE INTENSITIES; IMAGE TRANSFORMATIONS; INCOMING LIGHTS; MEASURED SIGNALS; MULTIPLE VIEWS; MULTIPLE-VIEW GEOMETRIES; NEW TOOLS; RECONSTRUCTION; SHARPENING AND DEBLURRING; SINGLE OUTPUTS; SINGULAR VALUES; SMOOTHING;

RESTORATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 64849096277     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.133     Document Type: Article

References (17)

1. B. Bascle, A. Blake, and A. Zisserman, "Motion Deblurring and Super-Resolution from an Image Sequence," Proc. Fourth European Conf. Computer Vision, pp. 573-582, 1996.
2. R.N. Bracewell, Two-Dimensional Imaging. Prentice Hall, 1995.
3. R.N. Bracewell, K.-Y. Chang, A.K. Jha, and Y.-H. Wang, "Affine Theorem for Two-Dimensional Fourier Transform," Electronics Letters, vol. 29, no. 3, p. 304, 1993.
4. S. Farsiu, D. Robinson, M. Elad, and P. Milanfar, "Fast and Robust Multi-Frame Super-Resolution," IEEE Trans. Image Processing, vol. 13, no. 10, pp. 1327-1344, Oct. 2004.
5. R.I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, second ed. Cambridge Univ. Press, 2004.
6. D. Hong and V. Kenneth, "Effects of Point-Spread Function on Calibration and Radiometric Accuracy of CCD Camera," Applied Optics vol. 43, no. 3, pp. 665-670, 2004.
7. H. Ji and C. Fermuller, "Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm," Proc. Ninth European Conf. Computer Vision 2006.
8. T. Lindeberg, "On the Axiomatic Foundations of Linear Scale-Space: Combining Semi-Group Structure with Causality versus Scale Invariance," technical report, Dept. of Numerical Analysis and Computing Science, Royal Inst. of Technology, 1994.
9. T. Lindeberg and J. Gårding, "Shape-Adapted Smoothing in Estimation of 3-D Shape Cues from Affine Deformations of Local 2-D Brightness Structure," Image Vision Computing, vol. 15, no. 6, pp. 415-434, 1997.
10. K. Mikolajczyk and C. Schmid, "Scale & Affine Invariant Interest Point Detectors," Int'l J. Computer Vision, vol. 60, no. 1, pp. 63-86, 2004.
11. K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. Van Gool, "A Comparison of Affine Region Detectors," Int'l J. Computer Vision, vol. 65, nos. 1-2, pp. 43-72, 2005.
12. S.C. Park, M.K. Park, and M.G. Kang, "Super-Resolution Image Reconstruction: A Technical Overview," IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 21-36, 2003.
13. S. Ravela, "Shaping Receptive Fields for Affine Invariance," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 725-730, 2004.
14. J. Starck, E. Pantin, and F. Murtagh, Deconvolution in Astronomy: A Review, 2002.
15. J.V. Stone, "Shape from Texture: Textural Invariance and the Problem of Scale in Perspective Images of Textures Surface," Proc. British Machine Vision Conf., pp. 181-187, 1990.
16. J.V. Stone and S.D. Isard, "Adaptive Scale Filtering: A General Method for Obtaining Shape from Texture," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 7, pp. 713-718, July 1995.
17. L. Wang, S.B. Kang, R. Szeliski, and H.-Y. Shum, "Optimal Texture Map Reconstruction from Multiple Views," Proc. IEEE Conf. Computer Vision and Pattern Recognition, no. 1, pp. 347-354, 2001.