The continuous boundary local Fourier transform

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4478, Issue , 2001, Pages 415-426

  Larson, Brons ^a   Saito, Naoki ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Best basis; Compression; Local cosine transform; Local Fourier transform; Segmentation; Sparse representation

Indexed keywords

ALGORITHMS; COSINE TRANSFORMS; FOURIER TRANSFORMS; FREQUENCY DOMAIN ANALYSIS; IMAGE COMPRESSION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; WAVELET TRANSFORMS;

LOCAL FOURIER TRANSFORMS (LFT);

IMAGE ANALYSIS;

EID: 0035765620     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.449728     Document Type: Conference Paper

References (6)

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3. F.G. Meyer and R.R. Coifman, "Brushlets: A tool for directional image analysis and image compression," Appl. Comput. Harmonic Anal. 4, pp. 147-187, 1997.
4. B. Larson, The Continuous Boundary Local Fourier Transform. PhD thesis, University of California, Davis, 2001.
5. N. Saito, B.M. Larson, and B. Bénichou, "Sparsity and statistical independence from a best-basis viewpoint," in Wavelet Applications in Signal and Image Processing VIII, A. Aldroubi, A.F. Laine, and M.A. Unser, eds., vol. Proc. SPIE 4119, pp. 474-486, 2000. Invited paper.
6. B. Bénichou and N. Saito, "Sparsity vs. statistical independence in adaptive signal representations: A case study of the spike process," Ann. Inst. Statist. Math., 2001. submitted.