Open Access   Article Go Back

Variational Image Dehazing Based on Multi-Scale Fusion

B. Jyothi1 , Chandra Mohan Reddy Sivappagari2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 1224-1228, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.12241228

Online published on Jul 31, 2018

Copyright © B. Jyothi, Chandra Mohan Reddy Sivappagari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: B. Jyothi, Chandra Mohan Reddy Sivappagari, “Variational Image Dehazing Based on Multi-Scale Fusion,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1224-1228, 2018.

MLA Style Citation: B. Jyothi, Chandra Mohan Reddy Sivappagari "Variational Image Dehazing Based on Multi-Scale Fusion." International Journal of Computer Sciences and Engineering 6.7 (2018): 1224-1228.

APA Style Citation: B. Jyothi, Chandra Mohan Reddy Sivappagari, (2018). Variational Image Dehazing Based on Multi-Scale Fusion. International Journal of Computer Sciences and Engineering, 6(7), 1224-1228.

BibTex Style Citation:
@article{Jyothi_2018,
author = {B. Jyothi, Chandra Mohan Reddy Sivappagari},
title = {Variational Image Dehazing Based on Multi-Scale Fusion},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {1224-1228},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2588},
doi = {https://doi.org/10.26438/ijcse/v6i7.12241228}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.12241228}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2588
TI - Variational Image Dehazing Based on Multi-Scale Fusion
T2 - International Journal of Computer Sciences and Engineering
AU - B. Jyothi, Chandra Mohan Reddy Sivappagari
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 1224-1228
IS - 7
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
538 334 downloads 254 downloads
  
  
           

Abstract

Dehazing plays a leading role in numerous image processing applications. The visibility of outside images is mostly questioned due to the presence of haze, fog, sandstorms, and other such factors. This paper presents that image dehazing is commonly used in many outside working arrangements. Fusion Based Variational Image Dehazing (FVID) technique that is grounded upon the fusion-based approach. Through white-balance along with a contrast improving technique, two images are deduced from the original hazy image which was blurry in the first place. The inputs that are created, along with their significant characteristics are sorted by computing three weight maps: luminance, chromaticity, and saliency, to areas that have greater visibility levels. These weight maps of the inputs are fused, generates haze free image. Experimental outcomes of an extensive range of hazy images validate that FVID is far better when it comes to preserving the structure of the image on regions that are close by and are less affected by the fog.

Key-Words / Index Term

Image Dehazing, Variational Image Processing, Fusion based weight maps, Degraded image, Contrast Enhancement

References

[1] Adrian Galdran, Javier Vazquez-Corral, David Pardo, and Marcelo Bertalm´ıo” Fusion-based Variational Image Dehazing” IEEE SIGNAL PROCESSING LETTERS, VOL. N, NO. N, MAY 2016
[2] Codruta Orniana Ancuti and Cosmin Ancuti single image dehazing by multi-scale fusion ieee transactions on image processing, vol. 22, no.8, august 2013.
[3] Dr. H.B. Kekre et al. review on image fusion techniques and performance evaluation parameters International Journal of Engineering Science and Technology (IJEST) Vol. 5 No.04 April 2013.
[4] Ma, Z., Wen, J., Zhang, C., Liu, Q., & Yan, D. (2016). An effective fusion defogging approach for single sea fog image. Neurocomputing, 173, 1257-1267.
[5] H. Koschmieder, Theorie der horizontalen Sichtweite: Kontrast und Sichtweite. Keim & Nemnich, 1925.
[6] Neha Padole1, Akhil Khare2”Improved Method of Single Image Dehazing based on Multi-Scale Fusion” Neha Padole et al, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (3) , 2015, 2945-2949.
[7] Nicy Johnson, Afrah Abdul Kader ,Jiss Paul#3, Shemil PS, Rizwana A “Haze Removal using Colour Attenuation prior” International Journal of Computer Trends and Technology (IJCTT) – Volume 48 Number 2 June 2017.