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Local Adaptive Bilateral Filter with Variation for Deblurring

by Anh Dao Nam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 15
Year of Publication: 2014
Authors: Anh Dao Nam
10.5120/15060-3395

Anh Dao Nam . Local Adaptive Bilateral Filter with Variation for Deblurring. International Journal of Computer Applications. 86, 15 ( January 2014), 13-18. DOI=10.5120/15060-3395

@article{ 10.5120/15060-3395,
author = { Anh Dao Nam },
title = { Local Adaptive Bilateral Filter with Variation for Deblurring },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 15 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number15/15060-3395/ },
doi = { 10.5120/15060-3395 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:17.533943+05:30
%A Anh Dao Nam
%T Local Adaptive Bilateral Filter with Variation for Deblurring
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 15
%P 13-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study, alternative application of bilateral filter for image deblurring and enhancement is discovered. The concept of Total variation model is added to BF. Based on analyzing force distribution rules of variance, standard deviation is managed to distinguish degree of degrade. The optimization solution of total variation is gained by tracking minimum change channels and keep maximum edges. Experimentation proves that the new V-ABF can solve the deblurring problem where original BF is solution for de-noising.

References
  1. L. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Phys. D, 60 (1992), pp. 259–268.
  2. S. Paris, P. Kornprobst, J. Tumblin and F. Durand: "Bilateral Filtering: Theory and Applications" in Computer Graphics and Vision Vol 4, No. 1 (2008) 1- 73.
  3. J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms, 53 (2010), pp. 67-92. doi:10. 1007/s11075-009-9310-3.
  4. Qi Min, Zhou Zuofeng, Liu Jing, Cao Jianzhong, Wang Hao, Yan Aqi, Wu Dengshan, Zhang Hui and Tang Linao. Image denoising algorithm via spatially adaptive bilateral filtering, ICSEM-13, 2013.
  5. Joachim Dahl, Per Christian Hansen, Søren Holdt Jensen, Tobias Lindstrøm Jensen. Algorithms and software for total variation image reconstruction via first-order methods. Springer Science + Business Media, LLC 2009.
  6. C. Tomasi, R. Manduchi. Bilateral Filtering for Gray and Color images. Procedings of IEEE international Conference on Computer Vision, Bombay, India, 1998: 839-846.
  7. Sylvain Paris and Fredo Durand, A Fast Approximation of the Bilateral Filter using a Signal Processing Approach, Computer Science and Artificial Intelligence LaboratoryMIT, 2006.
  8. Durand, F. , Dorsey, J. : Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans. on Graphics 21 (2002) Proc. of SIGGRAPH conference.
  9. Soonmin Bae Sylvain Paris Fr´edo Durand. Two-scale Tone Management for Photographic Look, ACM Transactions on Graphics. 2006.
  10. Eric P. Bennett, Leonard McMillan, Video enhancement using per-pixel virtual exposures, ACM SIGGRAPH 2005.
  11. Elmar Eisemann, Frédo Durand, Flash Photography Enhancement via Intrinsic Relighting, ACM Transactions on Graphics, Volume 23 – 2004.
  12. Georg Petschnigg, Maneesh Agrawala, Hugues Hoppe, Richard Szeliski, Michael Cohen, Kentaro Toyama, Digital Photography with Flash and No-Flash Image Pairs, ACM SIGGRAPH 2004.
  13. Chan T, Shen J, Zhou H (2006b) Total variation wavelet inpainting. J Math Imaging Vis 25(1): 107-125.
  14. Chan T, Ng M, Yau C, Yip A (2007) Superresolution image reconstruction using fast inpainting algorithms. Appl Comput Harmon Anal 23(1): 3-24.
  15. Bresson X, Chan T (2008) Fast dual minimization of the vectorial total variation norm and applications to color image processing. Inverse Probl Imaging 2(4):455-484
  16. Wang Z, Vemuri B, Chen Y, Mareci T (2004) A constrained variational principle for direct estimation and smoothing of the diffusion tensor field from complex DWI. IEEE Trans Med Imaging 23(8):930-939.
  17. Winnemöller H. and Bangay S. , Rendering Optimisations for Stylised Sketching, AFRIGRAPH 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Variance adaptive bilateral filter de-blurring restoration smoothing sharpening filtering total variance

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