The Library

Image denoising with directional bases

Tools

Park, Heechan, Martin, Graham R. and Yao, Zhen, 1981- (2007) Image denoising with directional bases. In: IEEE International Conference on Image Processing (ICIP 2007), San Antonio, Texas, 16-19 Sep 2007. Published in: IEEE International Conference on Image Processing, 2007. ICIP 2007, Volume 1 pp. 301-304.

Preview

PDF
WRAP_Yao_icip07_den.pdf - Accepted Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1598Kb) | Preview

Official URL: http://dx.doi.org/10.1109/ICIP.2007.4378951

Abstract

Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is used to capture significant structural information. This paper presents an empirical study of image denoising with directional bases. We consider two distinct approaches. One involves the Multi-resolution Fourier Transform (MFT) facilitated with a multi-directional selective filter. The other is based on statistics, Independent Component Analysis (ICA) that adaptively decomposes an image into a set of directional bases. We then present a combined approach that benefits from the computational efficiency of the MFT and the data adaptiveness of ICA. Experimental results are compared with those from other recent directional transforms such as the Curvelet and Directional cosine transform.

Item Type:

Conference Item (Paper)

Subjects:

T Technology > TR Photography

Divisions:

Faculty of Science > Computer Science

Library of Congress Subject Headings (LCSH):

Image processing -- Digital technique, Image processing -- Mathematics, Photography -- Digital techniques, Signal processing -- Digital techniques

Series Name:

IEEE International Conference on Image Processing (ICIP)

Journal or Publication Title:

IEEE International Conference on Image Processing, 2007. ICIP 2007

Publisher:

IEEE

ISBN:

9781424414376

ISSN:

1522-4880

Official Date:

2007

Dates:

Date	Date Type
2007	Published

Volume:

Volume 1

Number of Pages:

Page Range:

pp. 301-304

Status:

Peer Reviewed

Publication Status:

Published

Access rights to Published version:

Restricted or Subscription Access

Conference Paper Type:

Paper

Title of Event:

IEEE International Conference on Image Processing (ICIP 2007)

Type of Event:

Conference

Location of Event:

San Antonio, Texas

Date(s) of Event:

16-19 Sep 2007

References:

1] A. Hyvarinen, J. Karhunen, and E. Oja, Independent
Component Analysis, John Wiley, 2001.
[2] D.L. Donoho, “Denoising by soft-thresholding,” IEEE
Trans. IT., vol. 41, pp. 613–627, 1995.
[3] J.L Starck, E.J Candes, and D.L Donoho, “The curvelet
transform for image denoising,” IEEE Trans. on Image
Processing, vol. 11, pp. 670–684, 2000.
[4] M. N. Do and M. Vetterli, “The contourlet transform:
an efficient directional multiresolution image representation,” IEEE Trans. on Image Process., vol. 14, no. 12, pp. 2091–2106, 2005.
[5] B.A. Olshausen, “Learning sparse, overcomplete representations of time-varying natural images,” in IEEE
ICIP., 2003, pp. 41–44.
[6] A. Hyvarinen, “Sparse code shrinkage: Denoising of
nongaussian data by maximum likelihood estimation,”
Neural Computation, vol. 11, no. 7, pp. 1739–1768, 1999.
[7] R. Wilson, A.D Calway, and E.R.S Pearson, “A generalized wavelet transform for fourier analysis: the multiresolution fourier transform and its application to image and audiosignal analysis,” IEEE Trans. on Image Processing, vol. 38, pp. 674–690, Mar. 1992.
[8] Z. Yao, N. Rajpoot, and R. Wilson, “Directional wavelet
with fourier-type bases for image processing,” in Wavelet
Anaysis and Applications, 2005.
[9] H. Park, A. Bhalerao, G.R. Martin, and A.C. Yu, “An
affine symmetric approach to natural image compression,”
in Mobimedia, 2006.