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General Information
    • ISSN: 2010-3719 (Online)
    • Abbreviated Title: Int. J. Inf. Electron. Eng.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net
Editor-in-chief

 
University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2011 Vol.2(1): 62-68 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.56

Improved Optical Model Based on Region Segmentation for Single Image Haze Removal

Qieshi Zhang and Sei-ichiro Kamata

Abstract—In this paper, we propose a novel method to recovery the haze-free image based on the improved optical model with the single image based depth estimation. In this work, the objective transmission and distance transmission are present to improve the optical model for obtaining the haze-free image. Firstly, the color clustering method is used to segment the image into several regions by color similarity. Then, the graph-based segmentation is used to calculate the depth information. Next, the atmosphere light is estimated according to the distance transmission. And finally, the improved optical model is used to estimate the haze-free image. The experimental results show that our method is more effective and able to get better results than other single image based methods.

Index Terms—Haze removal, image segmentation, single image, optical model.

The authors are with the Graduate School of Information, Production, and Systems (IPS), Waseda University, Kitakyushu, 808-0135, Japan.(e-mail: Q.Zhang@Akane.waseda.jp; e-mail: kam@waseda.jp).

[PDF]

Cite: Qieshi Zhang and Sei-ichiro Kamata, "Improved Optical Model Based on Region Segmentation for Single Image Haze Removal," International Journal of Information and Electronics Engineering vol. 2, no. 1, pp. 62-68, 2011.

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