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Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image

by Anupama, Nidhi Singh, Lavi Tyagi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 1
Year of Publication: 2017
Authors: Anupama, Nidhi Singh, Lavi Tyagi
10.5120/ijca2017915295

Anupama, Nidhi Singh, Lavi Tyagi . Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image. International Journal of Computer Applications. 174, 1 ( Sep 2017), 1-5. DOI=10.5120/ijca2017915295

@article{ 10.5120/ijca2017915295,
author = { Anupama, Nidhi Singh, Lavi Tyagi },
title = { Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 1 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number1/28368-2017915295/ },
doi = { 10.5120/ijca2017915295 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:58.022705+05:30
%A Anupama
%A Nidhi Singh
%A Lavi Tyagi
%T Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 1
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Haze formation is the blend of air-light and attenuation. Attenuation reduces the contrast and air-light enlarges the whiteness in the captured image. Fog and haze are atmospheric conditions generated by floating particles, degrade the quality of images. Haze removal algorithms have become more beneficial for several vision applications. As we know there is no single technique i.e. accurate for all different kind of problems and circumstances. The existing approaches have neglected many issues like noise reduction and non-uniform illumination which will be presented in the output image of the existing haze removal algorithms. This dissertation has proposed a new haze removal technique HDCP which will integrate improved dark channel prior with histogram equalization to remove the haze from color images and weighted guided filter is used to decrease noise from images. The proposed algorithm is implemented and tested in MATLAB. The results have shown that the proposed algorithm has shown quite effective results.

References
  1. Angitha P V and Santhini K A, “A Review on Image Dehazing Techniques,” International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), vol. 5, pp. 7498-7506, April 2017.
  2. Kaiming He, Jian Sun, and Xiaoou Tang, Fellow, IEEE, Single Image Haze Removal using Dark Channel Prior, IEEE, December 2011.
  3. H.Geethu, S.Shamna, Jubilant J.Kizhakkethottam Dr., " Weighted Guided Image Filtering and Haze Removal in Single Image" Procedia Technology, ELSEVIER Volume 24, 2016, Pages 1475-1482.
  4. Histogram equalization https://en.wikipedia.org/wiki/Histogram_equalization
  5. Zheqi Lin, Xuansheng Wang, “Dehazing for Image and Video Using Guided Filter”, Open Journal of Applied Sciences, pp. 123-127.
  6. Xiaoyan Yuan, Mingye Ju, Zhenfei Gu and Shuwang Wang, “An Effective and Robust Single Image Dehazing Method Using the Dark Channel Prior”, MDPI, pp. 1-19, May 2017.
  7. Nidhi V. Kothari, Khushali R. Raval, “A Qualitative Classification of Various Enhancement Restoration and Filtering Techniques for Dense Fog Removal from Images”, International Journal for Scientific Research & Development (IJSRD), Vol. 2, pp. 383-388, 2015.
  8. Shuai Yang, Qingsong Zhu, Jianjun Wang, Di Wu and Yaoqin Xie, “An Improved Single Image Haze Removal Algorithm Based on Dark Channel Prior and Histogram Specification” SPRINGER, pp. 279-292, 2013.
  9. Yadwinder Singh, Er. Rajan Goyal, “Haze Removal in Color Images Using Hybrid Dark Channel Prior and Bilateral Filter”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), volume: 2 issue: 12, pp. 4165-4171, December 2014.
  10. W.K. Middleton, Vision through the Atmosphere (1957)
  11. Y.Y. Schechner, et al., Instant dehazing of images using polarization, Computer Vision and Pattern Recognition, in: Proc. IEEE Computer Society Conference, 1(2001), pp. 1–325.
  12. J.P. Tarel, N. Hautiere, Fast visibility restoration from a single color or gray level image, in: Proc. 12th IEEE International Conference on Computer Vision, pp. 2201–2208 (2009).
  13. K. He, et al.Single image haze removal using dark channel prior IEEE Trans. Pattern Anal. Mach. Intell., 33 (12) (2011), p. 2341
  14. Lee, et al. A Review on dark channel prior based mage dehazing algorithms EURASIP J. Image Video Process., 1 (2016), pp. 1-23
  15. Md. Imtiyaz Anwar, Arun Khosla," Vision enhancement through single image fog removal" Engineering Science and Technology, an International Journal, Volume 20, Issue 3, June 2017, Pages 1075-1083.
  16. K. He, et al. Single image haze removal using dark channel prior IEEE Trans. Pattern Anal. Mach. Intell., 33 (12) (2011), p. 2341
Index Terms

Computer Science
Information Sciences

Keywords

Attenuation Air-light Weighted guided filter Bilateral filter Histogram Equalization.

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