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An in-Depth Analyses of Various Defogging Techniques

초록

영어

In the recent years, dehazing images have been extensively studied by researchers in various applications like in traffic monitoring, video surveillance, video security, marine surveillance etc. Various methods that make use of single image have been proposed such as: Dark Channel Prior (DCP), Improved Dark Channel Prior (IDCP), IDCP with Guided filter, Anisotropic Diffusion and DCP with Histogram specification. This paper is an effort to compare the above mentioned techniques on the basis of picture quality and parameters like Contrast gain (Cgain), Color Naturalness Index (CNI), Number of saturated pixel (σ), Normalized Color Difference (NCD) and Time Complexity (TC). It is observed that the best perceptual quality is obtained for IDCP with Guided Filter followed by IDCP, DCP with Histogram Specification, Anisotropic Diffusion and DCP.

목차

Abstract
 1. Introduction
 2. Literature Survey
 3. Simulation Setup
 4. RESULTS
  1. Impact on Perceptual Quality:
  2. Impact of Various Defogging Techniques on TC, NCD, Cgain, σ, CNI:
 5. Conclusion
 References

저자정보

  • Pranjal Garg YMCA University of Science and Technology, Faridabad-121006, Haryana, India
  • Shailender Gupta YMCA University of Science and Technology, Faridabad-121006, Haryana, India
  • Bharat Bhushan YMCA University of Science and Technology, Faridabad-121006, Haryana, India
  • Prem Chand Vashist MVN University, Faridabad-121006, Haryana, India

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