Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Enhanced Defogging System on Foggy Digital Color Images

Authors : Sarath Krishnan, B. A. Sabarish, V. Gayathri, S. Padmavathi

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Images which are captured using camera can cause degradation in images by the effect of climatic conditions such as haze and fog. Image restoration makes a notable change in performing different application of computer vision and pattern recognition. The main aim of this paper is to improve the effect of fog and hazy images compared to the existing methods. The enhanced defogging system [EDS] consists of different image improvement techniques with a Dark Channel Prior [DCP] Algorithm to estimate the amount of fog is there in the images and transmission as well. Fusion based fog removal will reduce the amount of haze remained in those images. Experiments were done more than 100 images and the results are discussed below.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Grayscale Image Encryption Based on Symmetric-Key Latin Square Image Cipher (LSIC)
next chapter Identification of the Risk Factors of Type II Diabetic Data Based Support Vector Machine Classifiers upon Varied Kernel Functions
Literature
1.
Xu, Y., Wen, J., Fei, L., Zhang, Z.: Review of video and image defogging algorithms and related studies on image restoration and enhancement. IEEE Access 4, 165–188 (2016)
2.
Latha, M., Poojith, A., Reddy, B.V.A., Kumar, G.V.: Image processing in agriculture. Int. J. Innovative Res. Electr. Electron. Instrum. Control Eng. 2(6) (2014)
3.
Tripathi, K., Mukhopadhyay, S.: Removal of fog from images: a review. IETE Tech. Rev. 29(2), 148–156 (2012)CrossRef
4.
Yu, X., Xiao, C., Deng, M., Peng, L.: A classification algorithm to distinguish image as haze or non-haze. In: Proceeding IEEE International Conference Image Graph. pp. 286–289 (2011)
5.
Fang, S., Zhan, J., Cao, Y., Rao, R.: Improved single image de-hazing using segmentation. In: IEEE International Conference on Image Processing (ICIP), pp. 3589–92 (2010)
6.
Tarel, J.P., Hautiere, N., Caraffa, L., Cord, A., Halmaoui, H., Gruyer, D.: Vision enhancement in homogeneous and heterogeneous fog. IEEE Intell. Transport. Syst. Mag. 4(2), 6–10 (2010)
7.
Ding, M., Ruo, F.T.: Efficient dark channel based image dehazing using quadtrees. Sci. China Inf. Sci. 56(9), 1–9 (2013)
8.
Xu, Z., Liu, X., Ji, N.: Fog removal from color images using contrast limited adaptive histogram equalization. In: Image and Signal Processing, 2009. CISP’09. 2nd International Congress on. IEEE (2009)
9.
Vasudevan, S.K, Venkatachalam, K., Anandaram, S., Menon, A.J.: A novel method for circuit recognition through image processing techniques. Asian J. Inf. Tech. 15, 1146–1150 (2016)
10.
Nayar; S.K., Narasimhan, S.G.: Vision in bad weather. In: IEEE International Conference on Computer Vision (ICCV), vol. 2, pp. 820–827 (1999)
11.
Mishra, S., Sharma, T.: Image restoration technique for fog degraded image. Int. J. Comput. Trends Tech. 18(5), 208–213 (2014)CrossRef
12.
He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. In: Proceeding IEEE Conference Computer Vision Pattern Recognition, pp. 1956–1963 (2009)
13.
Jiang, J., Hou, T., Qi, M.: Improved algorithm on image haze removal using dark channel prior. Chinese J. Circuit Syst. 16(2), 7–12 (2011)
14.
Sharma, R., Chopra, V.: A review on different image dehazing methods. Int. J. Comput. Eng. Appl. 6(3), 77–87 (2014)
15.
Narasimhan, S.G., Nayar, S.K: Removing weather effects from monochrome images. In: Proceeding of the IEEE Computer Society Conference, Computer Vision Pattern Recognition (CVPR), vol. 2, pp. II-186–II-193 (2001)
16.
Chen, Z., Shen, J., Roth, P.: Single image defogging algorithm based on dark channel priority. J. Multimedia 8(4) (2013)
17.
Lan, X., Zhang, L., Shen, H., Yuan, Q., Li, H.: Single image haze removal considering sensor blur and noise. EURASIP J. Adv. Signal Process. 2013(1), 86 (2013)
18.
Sabarish, B.A., Mohan, S.B, MamthaShri, D.P.B., Ajit, R.C.B., Arun, A.V.R.B.: Automating runout decisions in cricket using image processing. Int. J. Appl. Eng. Res. 10, 25493–25500 (2015)
Metadata
Title
Enhanced Defogging System on Foggy Digital Color Images
Authors
Sarath Krishnan
B. A. Sabarish
V. Gayathri
S. Padmavathi
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_41