Multiscale wedgelet denoising algorithms

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5914, Issue , 2005, Pages 1-12

  Demaret, L ^a   Friedrich, F ^a   Fuhr H ^a   Szygowski, T ^a  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

Author keywords

Denoising; Fast algorithm; Parameter choice; Wavelets; Wedgelets

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; HEURISTIC METHODS; SPURIOUS SIGNAL NOISE;

DENOISING; FAST ALGORITHM; PARAMETER CHOICE; WEDGELETS;

WAVELET TRANSFORMS;

EID: 30844437025     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.612888     Document Type: Conference Paper

References (7)

1. D. Donoho, "Wedgelets: nearly minimax estimation of edges," Ann. Statist., pp. 859-897, 1999.
2. H. Führ, L. Demaret, and F. Friedrich, "Beyond wavelets: New image representation paradigms," tech. rep., 2005. Available at http://ibb.gsf.de/preprints/2005/pp05-05.html.
3. F. Friedrich, Complexity Penalized Segmentations in 2D. Phd thesis, Munich University of Technology, 2005.
4. R. Willett and K. Nowak, "Platelets: A multiscale approach for recovering edges and surfaces in photon-limited medical imaging," IEEE Trans. Med. Im., pp. 332-350, 2003.
5. D. Donoho and I. Johnstone, "Ideal spatial adaptation by wavelet shrinkage," Biometrika, pp. 425-455, 1994.
6. M. Wakin, J. Romberg, H. Choi, and R. Baraniuk, "Image Compression using an Efficient Edge Cartoon + Texture Model," in Data Compression Conference, (Snowbird, UT), April 2002.
7. J. Romberg, M. Wakin, and R. Baraniuk, "Multiscale Geometric Image Processing," in SPIE Visual Communications and Image Processing, (Lugano, Switzerland), July 2003.