Single Scale Retinex (SSR) and Multi Scale Retinex (MSR) Enhancement Algorithms for Thermal Night-Vision Images

  • Noor Qasim Faraj Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq.
  • Loay Kadom Abood Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq.
Keywords: Infrared images, Thermal images, Contrast Enhancement, Grayscale, Single Scale Retinex, Multi Scale Retinex, Histogram equalization

Abstract

Infrared technology advancements have led to an expansive set of infrared applications in both the private and public sectors. The       b[lfdssx  improvement procedures proposed for visible spectrum images specialty infrared pictures, and to propose a strategy that may be most appropriate for consolidation into commercial infrared imaging applications.The improvement of the general quality of aerial infrared images by proposes algorithms discussed briefly.

These algorithms were based on Single Scale Retinex SSR and Multi Scale Retinex MSR with histogram equalization HE. The database were used itconsists of night vision infrared images taken using a by Zenmuse camera (FLIR Systems, Inc) fixed on MATRIC100 drone in Karbala city.

Published
2018-01-08
How to Cite
Faraj, N. Q., & Abood, L. K. (2018). Single Scale Retinex (SSR) and Multi Scale Retinex (MSR) Enhancement Algorithms for Thermal Night-Vision Images. Iraqi Journal of Science, 58(4C), 2486-2495. Retrieved from https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/118
Section
Remote Sensing