Enhanced defogging system on foggy digital color images

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Krishnan, S., Sabarish, B. A., Gayathri, V., & Padmavathi, S. (2018). Enhanced defogging system on foggy digital color images. In Lecture Notes in Computational Vision and Biomechanics (Vol. 28, pp. 488–495). Springer Netherlands. https://doi.org/10.1007/978-3-319-71767-8_41

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free