Wavelet noise reduction based on energy features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5112 LNCS, Issue , 2008, Pages 75-84

  Fu, Guoyi ^a   Hojjat, Ali ^b   Colchester, Alan ^b  

^a Epson Canada Ltd   (Canada)

^b UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Device noise profile; Energy feature; Noise reduction

Indexed keywords

ACOUSTIC NOISE MEASUREMENT; IMAGE ANALYSIS; IMAGING TECHNIQUES; WAVELET TRANSFORMS;

DEVICE NOISE; ENERGY FEATURE; ENERGY LEVELS; HEIDELBERG (CO); IMAGING DEVICES; INTERNATIONAL CONFERENCES; MULTI BANDS; MULTI SCALING; NEW ALGORITHM; NOISE IMAGING; NOISE REDUCTIONS; SIMPLE STRUCTURES; SPATIAL RELATIONSHIP ('MA' PERCEPTIVE DISTANCE); WAVELET COEFFICIENTS; WAVELET RECONSTRUCTIONS; WAVELET TRANSFORMATION (WT);

IMAGE ENHANCEMENT;

EID: 47749131984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69812-8_8     Document Type: Conference Paper

References (10)

1. Kaur, L., Gupta, S., Chauhan, R.C.: Image denoising using wavelet thresholding. In: 3rd Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2002) (2002)
2. Donoho, D.L., Johnstone, I.M.: Ideal spatial adaptation via wavelet shrinkage. Biometrica 81, 425-455 (1994)
3. Malfait, M., Roose, D.: Wavelet-based image denoising using a Markov random field a priori model. IEEE Transactions on Image Processing 6, 549-565 (1997)
4. Scharcanski, J., Jung, C.R., Clarke, R.T.: Adaptive image denoising using scale and space consistency. IEEE Transactions on Image Processing 11(9), 1092-1101 (2002)
5. Mallat, S.G., Zhong, S.: Characterization of singals from multiscale edges. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 710-732 (1992)
6. Xu, Y., Weaver, J.B., Healy, D.M., Lu, J.: Wavelet transform, domain filters: A spatially selective noise filtration techinique. IEEE Transactions on Image Processing 3, 747-758 (1994)
7. Romberg, J.K., Choi, H.: Shift-Invariant denoising using wavelet-domain hidden Markov trees. In: Proc.33rd Asilomar Conference (1999)
8. Pizurica, A., Philiphs, W., Lemanhieu, I.: A versatile wavelet domain noise filteration technique for medical imaging. IEEE transaction on medical imaging 22(3), 323-331 (2003)
9. Wiener2: Wiener2: Matlab function for two-dimensional adaptive noise-removal filtering (2006)
10. Jung, C.R., Scharcanski, J.: Adaptive image denoising and edge enhancement in scalespace using the wavelet transform. Pattern Recognition Letters 24(7), 965-971 (2003)