Haze Removal and Fuzzy Based Enhancement of Image

被引:0
|
作者
Patil, Vishalkirthi S. [1 ,2 ]
Havaldar, R. H. [3 ]
机构
[1] Angadi Inst Technol & Management, Dept Elect & Commun Engn, Belagavi, Karnataka, India
[2] Visvesvaraya Technol Univ, Belagavi, Karnataka, India
[3] KLEs Dr MS Sheshgiri Coll Engn & Technol, Belagavi, Karnataka, India
关键词
Dehazing; dark channel prior; fuzzy enhancement; average information contents; natural image quality evaluator;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The quality of outdoor captured images by camera may be degraded due to the occurrence of haze in the atmosphere. The process of enhancing the image by removing the haze is call dehazing. In this paper, dark channel prior and fuzzy enhancement based method is applied to remove haze from a hazy image. The performance of the proposed method is evaluated by comparing average information content and natural image quality evaluator with two state-of-the-art algorithms. A comparative study and quantitative evaluation with existing algorithms demonstrate that similar even better quality results can be obtained by the proposed methods. The experimental result demonstrates that the proposed method removes the haze from a hazy image and also enhances it by maintaining the contrast.
引用
收藏
页码:627 / 629
页数:3
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