Defogging of Image Using Spatial MRF with Boundary Constraints

Volume 6 Issue 2 April - June 2019

Research Paper

Defogging of Image Using Spatial MRF with Boundary Constraints

Sivachanaukya Dora H.*, Sunil Prakash M**

*_**Department of ECE, MVGR College of Engineering, Vizianagaram, India.

Dora, H. S., & Prakash, S. M. (2019). Defogging of Image Using Spatial MRF with Boundary Constraints. i-manager's Journal on Image Processing, 6(2), 26-31.

Abstract

Capturing the image in fog scene suffer from the distortions of the information and the time taken to predict the object in the way become complicated. To overcome this difficulty the image are taken into consideration as the grown up technology opens the door for converting the analog scene to digital scene in the form of an image, image captured in less visibility of the scene predominantly in foggy weather conditions the structure of image and also several human activities like drones, aircrafts, flights and travellers which in turn will affect several computer vision applications like tracking, artificial intelligence, remote sensing. Thus restoring back the outdoor scene from such foggy image is significantly important. The main focus is to defog the image in the patch; atmospheric light in foggy days looks as that of the fog, so this to be reduced; edges and corners must be visible, inner depths to be reconstructed form the fog scene. To fulfill these characteristics of image several defog techniques was investigated. The Spatial Random Markov Fields with Boundary Constraints was proposed which performs on image within the space and patch using boundary constraints. Experimental results demonstrate that the proposed work is efficient to remove fog, restore space of an image and preserve’s the natural atmospheric light even in foggy days without changing the color.