Contrast Enhanced Low-light Visible and Infrared Image Fusion

Sandhya Kumari Teku; S. Koteswara Rao; I. Santhi Prabha

doi:10.14429/dsj.66.9340

Sandhya Kumari Teku Department of Electronics and Communication Engineering, V.I.E.W., Visakhapatnam
S. Koteswara Rao Department of Electronics and Communication Engineering, K.L.University, Vaddeswaram
I. Santhi Prabha Department of Electronics and Communication Engineering, J.N.T. University, Kakinada

DOI: https://doi.org/10.14429/dsj.66.9340

Keywords: Contrast enhancement, stochastic resonance, multi-modal image fusion

Abstract

Multi-modal image fusion objective is to combine complementary information obtained from multiple modalities into a single representation with increased reliability and interpretation. The images obtained from low-light visible cameras containing fine details of the scene and infrared cameras with high contrast details are the two modalities considered for fusion. In this paper, the low-light images with low target contrast are enhanced by using the phenomenon of stochastic resonance prior to fusion. Entropy is used as a measure to tune iteratively the coefficients using bistable system parameters. The combined advantage of multi scale decomposition approach and principal component analysis is utilized for the fusion of enhanced low-light visible and infrared images. Experimental results were carried out on different image datasets and analysis of the proposed methods were discussed.

Author Biographies

Sandhya Kumari Teku, Department of Electronics and Communication Engineering, V.I.E.W., Visakhapatnam

Mrs T. Sandhya Kumari did her BE from S.R.K.R. Engineering College, Bhimavaram and MTech from JNT University, Kakinada. Presently pursuing her PhD from JNT University, Kakinada. Currently working as an Associate Professor in the Department of ECE, Vignan’s Institute of Engineering for Women, Visakhapatnam. Her areas of interest include: Multi-modal image fusion, image enhancement and image restoration.

S. Koteswara Rao, Department of Electronics and Communication Engineering, K.L.University, Vaddeswaram

Dr S. Koteswara Rao received his PhD in digital statistical signal processing from Andhra University in the year 2010. He worked earlier at NSTL, DRDO. Currently, he is a Professor of ECE Department at K.L. University, Guntur. He is guiding PhD scholars in the fields of statistical signal processing, adaptive signal processing, image processing and bio-medical signal processing.

I. Santhi Prabha, Department of Electronics and Communication Engineering, J.N.T. University, Kakinada

Dr I. Santi Prabha received her PhD in Speech signal processing by JNT University, Kakinada, in 2005. Currently, she is a Professor of ECE Department at J.N.T. university, Kakinada. She published more than 60 technical papers in National and International journals and conferences. Her areas of interest include : Speech signal processing and image processing