Cross Bilateral Filter Based Image Fusion in Transform Domain

7 Pages Posted: 2 Mar 2020

See all articles by Kapil Joshi

Kapil Joshi

Uttaranchal University

N.K. Joshi

Uttaranchal University

Manoj Diwakar

DIT University

Himanshu Gupta

Uttarakhand Technical University, Students

Dev Baloni

Uttarakhand Technical University

Date Written: February 27, 2020

Abstract

In today's era, image fusion is the major technique to enhance the images using multiple images. In this paper, cross-bilateral based image fusion is proposed in wavelet domain. Firstly, images are decomposed using wavelet transform. Approximation parts are fused using weighted average function while detail part is processed by max operation. First intermediate result is obtained using inverse DWT. Original input image is subtracted by first intermediate result. Over subtracted image, cross-bilateral filter is applied to get second intermediate result. Both first and second intermediate results are added to get the final result. The results are tested by various performance metrics and it was found that proposed method gives better outcomes in compare to existing methods.

Keywords: Image fusion, Cross Bilateral Filter, Discrete Wavelet Transform

Suggested Citation

Joshi, Kapil and Joshi, N.K. and Diwakar, Manoj and Gupta, Himanshu and Baloni, Dev, Cross Bilateral Filter Based Image Fusion in Transform Domain (February 27, 2020). 5th International Conference on Next Generation Computing Technologies (NGCT-2019), Available at SSRN: https://ssrn.com/abstract=3545083 or http://dx.doi.org/10.2139/ssrn.3545083

Kapil Joshi (Contact Author)

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

N.K. Joshi

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

Manoj Diwakar

DIT University ( email )

Dehradun
Uttarakhand
India

Himanshu Gupta

Uttarakhand Technical University, Students ( email )

India

Dev Baloni

Uttarakhand Technical University ( email )

India

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