A Comparison of Various Defogging Techniques

Gujral, Atul; Aditi, Aditi; Gupta, Shailender; Bhushan, Bharat

doi:10.14257/ijsip.2014.7.3.13

Cited by 6 publications

(1 citation statement)

References 18 publications

(12 reference statements)

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“…Bad weather conditions such as fog and haze [1,2,20,21] degrades our image quality due to presence of substantial particles in the atmosphere which have significant size [3] between 1-10 μm. The light coming from a camera is absorbed and scattered by these atmospheric particles due to which the visibility of the scene is blemished.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Defogging Technique based on Anisotropic Diffusion and IDCP using Guided Filter

Garg¹,

Gupta²,

Bhushan³

et al. 2015

IJSIP

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In poor weather condition, fog removal from an image is an unavoidable problem. Various methods have been proposed in literature for de-hazing of image based on Dark Channel Prior (DCP) such as Improved Dark Channel Prior (IDCP), Anisotropic Diffusion and IDCP method using Guided Filter. This paper provides a hybrid strategy based on IDCP using Guided Filter and Anisotropic Diffusion method. The former strategy is used for estimating and refining transmission map while the later is used to estimate and refine airlight. In addition, this paper compares the above mentioned techniques using several performance metrics such as Normalized Color difference (NCD), Color Naturalness Index (CNI) and number of saturated pixel. The results shows that the visual quality of our hybrid approach is much better as well as the performance metrics mentioned above optimizes to a great extent.

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