A joint image dehazing and segmentation model

Haider ALI; Awal SHER; Nosheen ZIKRIA; Lavdie Rada ÜLGEN

Makale detayları

A joint image dehazing and segmentation model

Yazarlar:

Haider ALI | Awal SHER | Nosheen ZIKRIA | Lavdie Rada ÜLGEN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 3, pp.1652-1666

Belge Tipi:

Makale

Yayın Tarihi:

5/2019

Belge Dili:

Türkçe

Document ID (Org No.):

2000733934

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Objects and their feature identification in hazy or foggy weather conditions has been of interest in the last decades. Improving image visualization by removing weather influence factors for easy image postprocessing, such as object detection, has benefits for human assistance systems.  In this paper, we propose a novel variational model that will be capable of jointly segmenting and dehazing a given image. The proposed model incorporates atmospheric veil estimation and locally computed denoising constrained surfaces into a level set function by performing a robust and efficient image dehazing and segmentation scheme for both gray and color outdoor images.  The proposed model not only shows efficient segmentation of objects in foggy images by outperforming state-of-the-art methods but also produces dehazed object results in the same time.

Makale detayları

A joint image dehazing and segmentation model

Yazarlar: Haider ALI | Awal SHER | Nosheen ZIKRIA | Lavdie Rada ÜLGEN

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 3, pp.1652-1666

Belge Tipi: Makale

Yayın Tarihi: 5/2019

Belge Dili: Türkçe

Document ID (Org No.): 2000733934

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Haider ALI | Awal SHER | Nosheen ZIKRIA | Lavdie Rada ÜLGEN

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 3, pp.1652-1666

Belge Tipi:

Makale

Yayın Tarihi:

5/2019

Belge Dili:

Türkçe

Document ID (Org No.):

2000733934

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632