Multiscale methods for the segmentation and reconstruction of signals and images

IEEE Transactions on Image Processing

Volumn 9, Issue 3, 2000, Pages 456-468

  Schneider, Michael K ^a,b   Fieguth, Paul W ^a,c   Karl, William C ^a,d   Willsky, Alan S ^a,b  

^a IEEE   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF WATERLOO   (Canada)

^d Boston University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENOISING; MULTISCALE STATISTICAL MODELS;

ALGORITHMS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; SPURIOUS SIGNAL NOISE;

IMAGE RECONSTRUCTION;

EID: 0033889085     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.826782     Document Type: Article

References (5)

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2. D. Mumford and J. Shah, "Boundary detection by minimizing functionals, I," in Proc. IEEE Conf. Computer Vision Pattern Recognition, 1985, pp. 22-26.
3. _, "Optimal approximations by piecewise smooth functions and associated variational problems," Commun. Pure Appl. Math., vol. 42, pp. 577-684, 1989.
4. J. Morel and S. Solimini, Variational Methods in Image Segmentation. Boston, MA: Birkhäuser, 1995.
5. L. Ambrosio and V. M. Tortorelli, "Approximation of functionals depending on jumps by elliptic functionals via Γ-convergence," Commun. Pure Appl. Math..