Publication Type:

Journal Article

Source:

Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.488-495 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042413700&doi=10.1007%2f978-3-319-71767-8_41&partnerID=40&md5=8ef426089d90a50cee2754dc025b8439

Abstract:

<p>Images which are captured using camera can cause degradation in images by the effect of climatic conditions such as haze and fog. Image restoration makes a notable change in performing different application of computer vision and pattern recognition. The main aim of this paper is to improve the effect of fog and hazy images compared to the existing methods. The enhanced defogging system [EDS] consists of different image improvement techniques with a Dark Channel Prior [DCP] Algorithm to estimate the amount of fog is there in the images and transmission as well. Fusion based fog removal will reduce the amount of haze remained in those images. Experiments were done more than 100 images and the results are discussed below. © 2018, Springer International Publishing AG.</p>

Notes:

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Cite this Research Publication

S. Krishnan, Sabarish, B. A., Gayathri, V., and Padmavathi, S., “Enhanced defogging system on foggy digital color images”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 488-495, 2018.

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