Wavelet Transform for Image Noise Reduction
Abstract
Keywords
Full Text:
PDFReferences
A. K. Jain. 1989. Fundamentals of digital image processing Prentice-Hall Inc., Englewood Cliffs, New Jersey.
J. S. Lee. 1980. Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. on PAMI, Vol.2, No.2, pp.165-168.
S.G.Chang; B. Yu; M. Vetterli. 2000. Spatially adaptive wavelet thresholding with context modeling for image denoising. IEEE Trans. on Image Processing, Vol.9, No.9, pp. 1522-1531.
M. K. Mihcak; I.Kozintsev; K. Ramchandran. 1999. Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising. Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, Vol.6, pp. 3253–3256.
R. R. Coifman; D. L. Donoho. 1995. Translation- invariant de-noising, Lecture Notes in Statistics: Wavelets and Statistics vol. New York: Springer-Verlag, pp. 125 -150.
X. Li; M. T. Orchard. 2000. Spatially adaptive image denoising under overcomplete expansions. Proc. IEEE Int. Conf. On Image Processing, Vancouver.
D. Marpe; H. L.Cycon; G. Zander; K. U. Barthel. 2002. Context-based denoising of images using iterative wavelet thresholding. Proc. SPIE, Vol. 4671, pp. 907-914.
J. C. Bamber; C. Daft. 1986. Adaptive filtering for reduction of speckle in ultrasonic pulse-echo images. Ultrasonics, pp 41-44.
Motwani. M.C.; Gadiya. M.C.; Motwani. R.C.; Harris Jr. F.C. 2004. Survey of image denoising techniques. Proceedings of GSPx, Santa Clara, CA.
G. R. Arce; N. C. Gallagher; T.Nodes. 1986. Median filters: Theory and applications. Advances in Computer Vision and Image Processing, T. Huang, Ed. Greenwich, CT: JAI.
J. W. Tukey, 1971. Exploratory Data Analysis Addison-Wesley, Menlo Park, CA.
I. Pitas and A. N. Venetsanopoulos. 1990. Nonlinear Digital Filters: Principles and applications Boston, MA: Kluwer.
David L. Donoho; Iain M. Johnstone. 1994. Ideal spatial adaptation via wavelet shrinkage. Biometrika, Vol.81, pp 425-455.
David L. Donoho; Iain M. Johnstone. 1995. Adapting to unknown smoothness via wavelet shrinkage. Journal of the American Statistical Association, Vol.90, No432, pp 1200-1224.
Marc Antonini; Michel Barlaud; Pierre Mathieu ; Daubechies. 1992. Image coding using wavelet transform. IEEE Transaction on Image Processing, Vol. 1, No. 2, pp 205-220.
Jerome M. Shapiro. 1993. Embedded Image coding using zero-tree of wavelet coefficients. IEEE Transactions on Signal Processing, Vol. 41, No. 12, pp 3445 –3462.
Raghuveer M. Rao; Ajit S. Bobaradikar. 1998. Wavelet transforms: Introduction to theory and applications. Addison Wesley Longman Inc., pp 183-189.
Andrew Bruce; David Donoho; Hung-YeGao. 1996. Wavelet analysis. IEEE Spectrum, pp.27-35.
D. L. Donoho. 1995. De-noising by soft-thresholding. IEEE Trans. on Information Theory, Vol.41, No.3, pp 613-627.
Marteen Jansen. 2000. Ph. D. Thesis in Wavelet thresholding and noise reduction.
Arivazhagan S.1; Deivalakshmi S.1; Kannan K.1; Gajbhiye B.N.2; Muralidhar C.2; Lukose Sijo2; Subramanian M.P2. 2007. Performance analysis of Wavelet Filters for Image Denoising. Advances in Computational Sciences and Technology. Vol: 1, Issue: 1.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.