A Technique for Haze Removal Using Contrast Variation and DCP

Authors

  • Manish . Department of Computer Science Engineering, National Institute of Technology, Durgapur, West Bengal, India
  • Radhakrishan . Department of Computer Science Engineering, National Institute of Technology, Durgapur, West Bengal, India
  • Ekta Chauhan Department of Computer Science Engineering, Maharana Pratap College of Technology, Gwalior, Madhya Pradesh, India

Keywords:

Contrast variation using dark channel, DCP, USM, PSNR, entropy

Abstract

Image enhancement approach is one of the extensively used approaches for image quality enhancement through enhancing the image’s visibility. In this paper, an underwater image for enhancing the underwater image quality has been done and there a simple technique used for haze removal with the help of DCP. In this paper, we have shown two flow diagrams, one is used for base methodology and another for the proposed methodology. In the base methodology, it is done by using preprocessing, transmission of dark channel, denoising the image and lastly calculating PSNR and entropy. In the proposed methodology, it is done by using contrast variation using dark channel, dark channel estimation, haze removal and lastly calculating PSNR and entropy.

Cite this Article. Manish, Radhakrishan, Ekta Chauhan. ATechnique for Haze Removal UsingContrast Variation and DCP. Research& Reviews: A Journal of EmbeddedSystem & Applications. 2017; 5(2):23–28p.

Published

2017-09-18

Issue

Vol. 5 No. 2 (2017)

Section

Articles

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