Image Defogging Filtration Based on Channel Prior, Guided and GO-GWT (Generalized Optimized Gabor Wavelet Transformation) Techniques

  • Suruchi Bhatia, Rashmi karkra, Sukhdeep Kaur, Sunidhi Vashisth

Abstract

 Image Quality is generally affected by environmental conditions like fog effect and that makes the automated scheme inappropriate like investigation and external object detection that need pictures with a smooth image. Generally, Dark channel prior is a technique utilized for estimation of atmosphere brightness for image defogging. DCP defogging enhances communication mapping to escape from block artifacts. The transmission map calculates through the RGB color area. The image quality improved through foggy polarization technological processes.  Defogging is cast-off in a change of requests like investigation, security, military system and control schemes. In an existing approach, a novel fog extraction algorithm was implemented reliant on polarized images of the dark channel and guided filtration process. Polarized data linked with dark before the association of polarized data using the sprinkling method. After that, dark channel prior acquired using environmental sprinkling method. Environmental conditions are modified through the filtration approach. Performance outcomes analyzed that SD(standard deviation), entropy and mean slope of the de-fogged picture had maximum value as compared to existing defogged technology. This technique used to enhance the compactness of the picture in a fog condition and also enhance the detection capability of polarized pictures. In the proposed approach, a new robust algorithm proposed to improve fog image usingGeneralized Optimized Gabor Wavelet Transformation algorithm in road, scene and forest images. Initially, take the image from the database, then extraction of the feature components based on the illumination map technique. Also, implemented the guide filter Experimental analysis is done by evaluating parameter metrics which are image imageentropy value and Average Gradient, SD (Standard Deviation) and compared the existing work. In proposed work SD value is 266 and the existing SD value is 108 %.

 

Keywords: -Dark channel prior, Generalized Optimized Gabor Wavelet Transformation algorithm, Polarised data, DCP defogging.

Published
2019-12-31
How to Cite
Sunidhi Vashisth, S. B. R. karkra, S. K. (2019). Image Defogging Filtration Based on Channel Prior, Guided and GO-GWT (Generalized Optimized Gabor Wavelet Transformation) Techniques. International Journal of Advanced Science and Technology, 28(19), 910 - 918. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/2679
Section
Articles