A near least squares method for image decimation

IEEE International Conference on Image Processing

Volumn 2, Issue , 2003, Pages 929-932

  Gotchev, Atanas ^a   Egiazarian, Karen ^a   Marchokov, Grigor ^a   Saramäki, Tapio ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; IMAGE QUALITY; INTERPOLATION; LEAST SQUARES APPROXIMATIONS; POLYNOMIALS; VECTORS;

FARROW STRUCTURE; IMAGE DECIMATION;

IMAGE RECONSTRUCTION;

EID: 0344271893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. A. Munos, T. Blu, and M. Unser, "Least-Squares Image Resizing Using Finite Differences", IEEE Trans. Image Proc., vol. 10, No.9, Sept, 2001, pp. 1365-1378.
3. A. Aldroubi and M. Unser, "Sampling procedures in function spaces and asymptotic equivalence with Shannon's sampling theory", Numer. Funct. Anal. Optim. vol. 15, No. 1/2, pp. 1-21, 1994.
4. T. Blu, P. Thévenaz, M. Unser, "MOMS: Maximal-Order Interpolation of Minimal Support," IEEE Trans. Image Proc., vol. 10, no. 7, pp. 1069-1080.
5. C. de Boor, "A Practical Guide to Splines", Springer, revised edition, 2001.
6. Å Björk "Numerical methods for least squares problems", SIAM, 1996.
7. D. Babic, J. Vesma, T. Saramäki, and M. Renfors, "Implementation of the transposed Farrow stucture", in Proc. ISCAS'2002, Phoenix, USA, May 2002, vol. IV, pp. 5-8.
8. A. Gotchev, G. Marchokov, T. Saramäki, and K. Egiazarian "Efficient Algorithms and Structures for Image Size Reduction", in Proc. Int. Wokshop Spectral Methodsand Multirate Signal Processing SMMSP'02, Toulousse, France, Sept. 2002, pp. 251-258.