Earticle

초록

영어

Single Image Dehazing technology is widely needed in many fields. In order to solve the problem, we propose an improved and modified framework for estimating the optical transmission t in hazy scenes in a given single input image. At first, a novel formulation to the t estimation is presented with the combination of constant albedo and dark channel prior knowledge. Later, we introduce the watershed segmentation methodology into the algorithm to separate the image into some gray level consistent parts based on the original image’s color distribution and feature difference. As a result, we could estimate the atmospheric light A better and avoid the important drawback of artifacts phenomenon. At last, through this effective estimation to t and A, the scene visibility is largely increased and the haze-free scene contrasts can be better recovered. The experimental analysis shows that compared with other state-of-the-art algorithms, our proposed algorithm can provide promising results to dark channel prior and get corresponding reliable estimation value t with the advantage of minimal halo artifacts and fewer unreal details. Our method is more effective and robust.

목차

Abstract
 1. Introduction
 2. The Current Models
  2.1. The Optical Model
  2.2. The Dark Channel Prior Model
  2.3. The Constant Albedo Model
 3. The Proposed Model
  3.1. The Estimation of Transmission
  3.2. The Halo Artifacts Removal with Image Segmentation
  3.3. Estimating the Atmospheric Light
 4. The Experimental Analysis
 5. Conclusion and Summary
 References

키워드

저자

• Bingquan Huo [ Binzhou Polytechnic, Shandong, China ]
• Fengling Yin [ Binzhou Polytechnic, Shandong, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605