Implementation and Validation of Visual and Infrared Image Fusion Techniques in C# .NET Environment

Hela Saraswathi, B and Naidu, VPS (2017) Implementation and Validation of Visual and Infrared Image Fusion Techniques in C# .NET Environment. Control and Data Fusion-CADF e-JournaL, Vol. 1 (No. 2). pp. 27-39.

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Abstract

This paper presents the implementation of image fusion techniques by means of an image fusion application “C#ImFuse”, developed in C#.NET. C# programming language is a simple, type-safe, object-oriented language that allows programmers to build a variety of applications. C#ImFuse application implements four fusion methods viz., Alpha Blending (AB), Principle Component Analysis (PCA), Laplacian Pyramid (LP), and Discrete Wavelet Transform (DWT) for a visual and a thermal image (still images) and for real-time images of the Enhanced Vision System (EVS). The performance of these fusion techniques is evaluated using fusion performance metrics. LP based image fusion technique proved to provide better fusion when compared to the other techniques. Source code is provided so that the reader can understand the techniques and use for his research work.

Item Type: Article
Uncontrolled Keywords: Image fusion in C#; image processing; Laplacian Pyramid; wavelets
Subjects: AERONAUTICS > Avionics & Aircraft Instrumentation
ENGINEERING > Electronics and Electrical Engineering
Depositing User: Dr VPS Naidu
Date Deposited: 27 Jul 2017 03:41
Last Modified: 27 Jul 2017 03:41
URI: http://nal-ir.nal.res.in/id/eprint/12557

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