Abstract
Blind restoration of aerial multipspectral images, through a sequential deconvolution scheme is addressed in this paper. The proposed scheme is composed of three successive optimized processes : image denoising followed by Point Spread Function (PSF) estimation and finally image restoration. First, an iterative denoising filter is applied and stopped at the iteration when an optimal estimation of the blurry image is obtained. Secondly, slighty TV (Total Variation) regularized PSF estimation is carried out on an almost noise free version of the blurry image. In order to keep unknown original image fixed during PSF estimation, shocked filtering of filtered image is efficiently considered. Thirdly, assuming the previously estimated PSF fixed, a TV-regularized deconvolution is performed on filtered image to give better estimation of original image. Regularization parameters are automatically tuned using regularization-scale relationship. Results obtained on aerial CASI and AISA Eagle multispectral images prove efficacy of the proposed scheme.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Biemond, J., Lagendijk, R.L., Mersereau, R.M.: Iterative methods for image deblurring. Proceedings of the IEEE 78(5), 856–883 (1990)
Chan, T.F., Wong, C.K.: Total variation blind deconvolution. IEEE Transactions on Image Processing 7(3), 370–375 (1998)
Katsaggelos, A.K., Biemond, J., Schafer, R.W., Mersereau, R.M.: A regularized iterative image restoration algorithm. IEEE Transactions on Signal Processing 39(4), 914–929 (1991)
Molina, R., Katsaggelos, A.K., Mateos, J.: Bayesian and regularization methods for hyperparameter estimationin image restoration. IEEE Transactions on Image Processing 8(2), 231–246 (1999)
Kundur, D., Hatzinakos, D.: Blind image deconvolution. IEEE Signal Processing Magazine 13(3), 43–64 (1996)
Money, J.H., Kang, S.H.: Total variation minimizing blind deconvolution with shock filter reference. Image and Vision Computing 26(2), 302–314 (2008)
Vozel, B., Chehdi, K., Klaine, L., Lukin, V.V., Abramov, S.K.: Noise Identification and Estimation of its Statistical Parameters by Using Unsupervised Variational Classification. In: IEEE International Conference on Acoustics, Speech and Signal Processing (2006)
Koenderink, J.J.: The structure of images. Biological Cybernetics 50(5), 363–370 (1984)
Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60(1-4), 259–268 (1992)
Chan, T.F., Osher, S., Shen, J.: The digital TV filter and nonlinear denoising. IEEE Transactions on Image Processing 10(2), 231–241 (2001)
Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 629–639 (1990)
Lee, J.S.: Digital image enhancement and noise filtering by use of local statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2(2), 165–168 (1980)
Mrázek, P., Navara, M.: Selection of optimal stopping time for nonlinear diffusion filtering. International Journal of Computer Vision 52(2/3), 189–203 (2003)
Gilboa, G., Sochen, N., Zeevi, Y.Y.: Estimation of Optimal PDE-Based Denoising in the SNR Sense. IEEE Transactions on Image Processing 15(8), 2269–2280 (2006)
Vogel, C.R., Oman, M.E.: Fast, robust total variation-based reconstruction of noisy, blurred images. IEEE Transactions on Image Processing 7(6), 813–824 (1998)
You, Y.L., Kaveh, M.: A regularization approach to joint blur identification and image restoration. IEEE Transactions on Image Processing 5(3), 416–428 (1996)
Strong, D.M., Chan, T.F.: Relation of regularization parameter and scale in total variation based image denoising. In: Proc. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (1996)
Rahmani, P., Vozel, B., Chehdi, K.: Image Restoration: A New Explicit Approach in Filtering and Restoration of Digital Images. In: International Conference on Signal Processing and Multimedia Applications, Barcelona, Spain, July 2007, pp. 200–203 (2007)
Rahmani, P., Vozel, B., Chehdi, K.: Restauration avec Filtrage Explicite des Images Numériques. In: Colloque GRETSI, Troyes, France, pp. 37–40 (September 2007)
Chardon, S., Vozel, B., Chehdi, K.: Parametric Blur Estimation Using the GCV Criterion and a Smoothness Constraint on the Image. Multidimensional Systems and Signal Processing Journal 10, 395–414 (1999)
Weickert, J.: Coherence-enhancing diffusion of colour images. In: Proc. VII National Symposium on Pattern Recognition and Image Analysis, Barcelona, Spain, vol. 1, pp. 239–244 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rahmani, P., Vozel, B., Chehdi, K. (2008). Sequential Blind PSF Estimation and Restoration of Aerial Multispectral Images. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_37
Download citation
DOI: https://doi.org/10.1007/978-3-540-88458-3_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88457-6
Online ISBN: 978-3-540-88458-3
eBook Packages: Computer ScienceComputer Science (R0)