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Contrast Restoration Exponentialy with Entropy Minimization for Fog Free Images

Author(s):

Berlin S John , Mount Zion College of Engineering; Hari S, Mount Zion College of Engineering; Teena Susan Joseph, Mount Zion College of Engineering

Keywords:

Contrast, Fog, Extinction Coefficient, Atmospheric Veil, Entropy, Exponential Function

Abstract

Different natural phenomena such as haze, fog, mist, rain etc. can reduce the quality of images and diminish the visibility. During these conditions, captured image have degraded contrast. when we apply current image processing applications to these images, it become very sensitive and error prone. This paper is an efficient single-image enhancement algorithm for day time fog detection. It uses two concept for obtaining fog free images: one is the detection of fog with minimum entropy and other is the contrast restoration using exponential function. This paper is a mathematical model for computing atmospheric veil by taking variation of fog density with respect to distance. By using these methods, we are able to obtain the superior reconstruction of original fog free images. This mathematical model is more suitable for contrast restoration in both homogeneous and heterogeneous fog conditions in real time for both color and grey scale images.

Other Details

Paper ID: IJSRDV5I11038
Published in: Volume : 5, Issue : 1
Publication Date: 01/04/2017
Page(s): 1727-1728

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