Wavelet thresholding of multivalued images

IEEE Transactions on Image Processing

Volumn 13, Issue 4, 2004, Pages 475-483

  Scheunders, Paul ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Multivalued images; Noise modeling; Wavelet denoising

Indexed keywords

MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; REMOTE SENSING; WAVELET TRANSFORMS;

MULTIVALUED IMAGES; NOISE MODELING; WAVELET DENOISING; WAVELET THRESHOLDING;

IMAGE SENSORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; STATISTICS; VALIDATION STUDY;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 1942436683     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2004.823829     Document Type: Article

References (20)

1. I. L. Thomas, V. M. Benning, and N. P. Ching, Classification of Remotely Sensed Images. Bristol, U.K.: Adam Hilger, 1987.
2. C. Lee and D. A. Landgrebe, "Analyzing high-dimensional multispectral data," IEEE Trans. Geosci. Remote Sensing, vol. 31, pp. 388-400, Mar. 1993.
3. T. Taxt and A. Lundervold, "Multispectral analysis of the brain using magnetic resonance imaging," IEEE Trans. Med. Imag., vol. 13, pp. 470-481, Sept. 1994.
4. C. Busch, "Wavelet based texture segmentation of multi-modal tomographic images," Comput. Graph., vol. 21, no. 3, pp. 347-358, 1997.
5. A. A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sensing, vol. GRS-26, pp. 65-74, Mar. 1988.
6. J. L. Starck and P. Querre, "Multispectral data restoration by the wavelet karhunen-loeve transform," Signal Processing, vol. 81, no. 12, pp. 2449-2459, 2001.
7. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation via wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, 1994.
8. S. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 674-693, July 1989.
9. S. Grace Chang, B. Yu, and M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression," IEEE Trans. Image Processing, vol. 9, pp. 1532-1546, Sept. 2000.
10. ____, "Spatially adaptive wavelet thresholding with context modeling for image denoising," IEEE Trans. Image Processing, vol. 9, pp. 1522-1531, Sept. 2000.
11. Q. Pan, L. Zhang, G. Dai, and H. Zhang, "Two denoising methods by wavelet transform," IEEE Trans. Signal Processing, vol. 47, pp. 3401-3406, Dec. 1999.
12. L. Zhang, P. Bao, and Q. Pan, "Threshold analysis in wavelet-based denoising," Electron. Lett., vol. 37, no. 24, pp. 1485-1486, 2001.
13. M. K. Mihcak, I. Kozintsev, K. Ramachandran, and P. Moulin, "Low complexity image denoising based on statistical modeling of wavelet coefficients," IEEE Signal Processing Lett., vol. 6, pp. 300-303, Dec. 1999.
14. Y. Xu, J. B. Weaver, D. M. Healy, and J. Lu, "Wavelet transform domain filtering: a spatially selective noise filtration technique," IEEE Trans. Image Processing, vol. 3, pp. 747-758, June 1994.
15. J. Liu and P. Moulin, "Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients," IEEE Trans. Image Processing, vol. 10, pp. 1647-1658, Nov. 2001.
16. B. M. Sadler and A. Swami, "Analysis of multiscale products for step detection and estimation," IEEE Trans. Inform. Theory, vol. 45, pp. 1043-1051, May 1999.
17. L. Zhang, P. Bao, and X. Wu, "Hybrid inter- and intra-wavelet scale image restoration," Pattern Recognit., vol. 36, no. 8, pp. 1737-1746, 2003.
18. S. Mallat and S. Zhong, "Characterization of signals from multiscale edges," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 710-732, July 1992.
19. S. Mallat, Ed., A Wavelet Tour of Signal Processing, 2nd ed. New York: Academic, 1999.
20. A. Papoulis, Probability, Random Variables and Stochastic Processes. New York: McGraw-Hill, 1991.