AN IMPROVED HAZE REMOVAL METHOD FOR THE APPLICATION OF GEO-GRAPHICAL DATA ANALYSIS

Authors

  • Anju J. Prakash, A. Ferdin and Christopher Deptartment of Computer Science and Engineering, Noorul Islam University, India

Keywords:

Gradient, Artifacts, Hazy image, Halo effects.

Abstract

The images taken in ghastly climatic conditions is a lot tainted owing to the occurrence of haze. It may also affect heavily, such images used in the ground of computer visualization, object recognition etc. As an aim to resolve this problem in this paper a better image enhancement as well as classification method is employed. The projected work takes benefit of SVD as this solo value allow us to characterize the picture with a minimal set of value that shrink storage space and progress the quality. For a superior quality and feature improvement a rate-based alteration is completed with the help of gaussian filter. The eventual dehazed image is then classified using an improved knn as part of geographical data analysis.

Published

2018-06-25

How to Cite

Anju J. Prakash, A. Ferdin and Christopher. (2018). AN IMPROVED HAZE REMOVAL METHOD FOR THE APPLICATION OF GEO-GRAPHICAL DATA ANALYSIS. Pakistan Journal of Biotechnology, 15(4), 903–907. Retrieved from https://pjbt.org/index.php/pjbt/article/view/460

Issue

Section

Research Articles