Redundant representation with complex wavelets: How to achieve sparsity

IEEE International Conference on Image Processing

Volumn 1, Issue , 2003, Pages 45-48

  Kingsbury, Nick ^a   Reeves, Tanya ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CODING ERRORS; CONVERGENCE OF NUMERICAL METHODS; IMAGE CODING; IMAGE QUALITY; ITERATIVE METHODS; MATRIX ALGEBRA; OPTIMIZATION; SIGNAL FILTERING AND PREDICTION; VECTOR QUANTIZATION; VECTORS; WAVELET TRANSFORMS;

NYQUIST FREQUENCY; WAVELET COEFFICIENTS;

IMAGE RECONSTRUCTION;

EID: 0344235369     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. S G Mallat and Z Zhang, "Matching pursuits with time-frequency dictionaries," IEEE Trans. Signal Proc., vol. 41, pp. 3397-3415, Dec. 1993.
3. T H Reeves and N G Kingsbury, "Overcomplete image coding using iterative projection-based noise shaping," in ICIP 02, Rochester, Sept 2002, paper 2492.
4. H Bölcskei and F Hlawatsch, "Oversampled filter banks: Optimal noise shaping, design freedom, and noise analysis," in ICASSP 97, April 1997, pp. 2453-2456.
5. S Fischer and G Cristobal, "Minimum entropy transform using gabor wavelets for image compression," in ICIAP'01, Palermo, Sept 2001.
6. Y Yang and N P Galatsanos, "Removal of compression artifacts using projections onto convex sets and line process modelling," IEEE Trans. Image Proc., pp. 1345-1357, Oct. 1997.