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Reseach Article

Edge- Preserving Smoothening of Images using Guided Filter

Published on June 2015 by Vrushali Patil, P. Malathi
National Conference on Emerging Trends in Advanced Communication Technologies
Foundation of Computer Science USA
NCETACT2015 - Number 5
June 2015
Authors: Vrushali Patil, P. Malathi
f4cc4e72-de1c-42b1-8529-67b546ec5fd4

Vrushali Patil, P. Malathi . Edge- Preserving Smoothening of Images using Guided Filter. National Conference on Emerging Trends in Advanced Communication Technologies. NCETACT2015, 5 (June 2015), 16-18.

@article{
author = { Vrushali Patil, P. Malathi },
title = { Edge- Preserving Smoothening of Images using Guided Filter },
journal = { National Conference on Emerging Trends in Advanced Communication Technologies },
issue_date = { June 2015 },
volume = { NCETACT2015 },
number = { 5 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 16-18 },
numpages = 3,
url = { /proceedings/ncetact2015/number5/21012-2061/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Advanced Communication Technologies
%A Vrushali Patil
%A P. Malathi
%T Edge- Preserving Smoothening of Images using Guided Filter
%J National Conference on Emerging Trends in Advanced Communication Technologies
%@ 0975-8887
%V NCETACT2015
%N 5
%P 16-18
%D 2015
%I International Journal of Computer Applications
Abstract

Filtering is widely used in image and video processing for various applications among which Edge- Preserving is the most popular one. Edge-preserving image smoothening has recently emerged as a valuable tool for a variety of applications such as denoising, tone mapping, non-photorealistic rendering in computer graphics and image processing. This can be achieved by a local filtering method such as bilateral filter [1]. However, this method has to face the problem of trade-off between edge-preservation abilities and smoothening abilities [2] and tends to result in staircase effect which is not acceptable for some applications. Hence, in this paper the guided filter is proposed which filters the output depending upon the information provided by the guidance image.

References
  1. C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images", in Proceedings of IEEE 6th International Conference on Computer Vision, pp. 839-846, 1998.
  2. Z. Farbman, R. Fattal, D. Lischinski, and R. Szeliski, "Edge-preserving decompositions for multiscale tone and detail manipulation", ACM Transactions on Graphics, vol. 27, no. 3, pp. 67:1–67:10, 2008.
  3. Fredo Durand and Julie Dorsey, "Fast bilateral filtering for the display of high dynamic range images", ACM Transactions on Graphics, vol. 21, no. 3, pp. 257-266, 2002.
  4. G. Petschnigg, R. Szeliski, M. Agrawal, M. Cohen, H. Hoppe and K. Toyama, "Digital photography with flash and no-flash image pairs", ACM Transactions on Graphics, vol. 23, no. 3, pp. 664-672, 2004.
  5. Y. C. Tseng, P. H. Hsu and T. S. Chang, "A 124 Mpixels/s VLSI design for histogram-based joint bilateral filtering", IEEE Transactions on Image Processing, vol. 20, no. 11, pp. 3231–3241, 2011.
  6. L. Grady, "Random Walks for Image Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 11, pp. 1768-1783, 2006.
  7. Anat. Levin, Dani. Lischinski, and Yair. Weiss, "Colorization Using Optimization", ACM Transactions on Graphics, vol. 23, no. 3, pp. 689-694, 2004.
  8. M. Kass and J. Solomon, "Smoothed Local Histogram Filters", ACM Transactions on Graphics, vol. 29, pp. 101-110, 2010.
  9. L. I. Rudin, S. Osher, and E. Fatemi, "Nonlinear Total Variation Based Noise Removal Algorithms", Physica D, vol. 60, nos. 1-4, pp. 259-268, 1992.
  10. Y. Li and S. Osher, "A New Median Formula with Applications to PDE Based Denoising", Communications in Mathematical Sciences, vol. 7, no. 3, pp. 741-753, 2009.
  11. Y. Wang, J. Yang, W. Yin, and Y. Zhang, "A New Alternating Minimization Algorithm for Total Variation Image Reconstruction", Society for Industrial and Applied Mathematics Journal on Imaging Sciences, vol. 1, no. 3, pp. 248-272, 2008.
  12. CarstenGarnica, Frank Boochs and Marek Twardochlib, "A new approach to edge- preserving smoothing for edge extraction and image segmentation", International Archives of Photogrammetry and Remote Sensing, vol. 33, Part B3,2000.
  13. Li-Cheng Chiu and Chiou-ShannFuh, "A Robust Denoising Filter with Adaptive Edge Preservation", Springer-Verlag Berlin Heidelberg, pp. 923–926, 2008.
  14. P. Bakker, L. J. , Van Vliet and P. W. Verbeek, "Edge preserving orientation adaptive filtering", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1063-6919, 2009.
  15. Kaiming He, C. Rhemann, C. Rother, X. Tang, and J. Sun, "A global sampling method for alpha matting", in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2049–2056, 2011.
  16. Y. Ding, J. Xiao, and J. Yu, "Importance filtering for image retargeting", in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 89–96, 2011.
  17. Chieh-Chi Kao, Jui-Hsin Lai and Shao-Yi Chien, "VLSI architecture design of Guided Filter for 30 Frames/s full HD video", IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 3, 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Edge-preserving Filtering Bilateral Filter Guided Filter Guidance Image