Single image defogging based on fusion strategy

To effectively enhance the degraded foggy image, a single image defogging algorithm based on fusion strategy was proposed. The strategy does not require the atmospheric scattering model or scene structure, only needs the original degraded image to derive the inputs and weight maps. The function of t...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: OFan GU, Jin TANG, Zi-xing CAI
Μορφή: Άρθρο
Γλώσσα:zho
Έκδοση: Editorial Department of Journal on Communications 2014-07-01
Σειρά:Tongxin xuebao
Θέματα:
Διαθέσιμο Online:http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2014.07.024
Περιγραφή
Περίληψη:To effectively enhance the degraded foggy image, a single image defogging algorithm based on fusion strategy was proposed. The strategy does not require the atmospheric scattering model or scene structure, only needs the original degraded image to derive the inputs and weight maps. The function of the two inputs is to correct color and enhance con-trast, and the three weight maps improve the detail information of the regions in dense fog. All the inputs and weight maps are fused by using fusion strategy to produce a high-contrast and vivid fog removal image. Besides, an index for defogging effect assessment is also proposed from the perspective of human visual perception, which provides a new so-lution to the problem of single image defogging and its effect assessment. Experimental results show that the proposed fusion strategy method can better improve the image quality for various foggy images.
ISSN:1000-436X