A nonparametric hypothesis testing approach to wavelet domain image fusion

Stephen DelMarco

doi:10.1117/12.2176588

21 May 2015 A nonparametric hypothesis testing approach to wavelet domain image fusion

Stephen DelMarco

Proceedings Volume 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015; 949703 (2015) https://doi.org/10.1117/12.2176588
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

Data fusion can be used to generate high quality data from multiple, degraded data sets by appropriately extracting and combining “good” information from each degraded set. In particular for image fusion, it may be used for image denoising, deblurring, or pixel dropout compensation. Image fusion is often performed in an image transform domain. In transform domain fusion approaches, transform coefficients from multiple images may be combined in various ways to produce an improved transform coefficient set. The fused transform data is inverted to produce the fused image. In this paper we formulate a general approach to image fusion in the wavelet domain. The proposed approach exploits context information, through application of nonparametric statistical hypothesis testing. The use of statistical hypothesis testing places the fusion on a theoretically sound and principled basis, and leads to improved fusion performance. Furthermore, use of statistical wavelet coefficient information in a neighborhood of the test coefficient more fully exploits the available context information. In this paper we first formulate the fusion approach. We then present numerical image data fusion results using a sampling of imagery from a public domain image database. We compare fusion performance of the proposed approach with performance of other standard wavelet-domain fusion approaches, and show a performance improvement when using the proposed approach.

Citation Download Citation

Stephen DelMarco "A nonparametric hypothesis testing approach to wavelet domain image fusion", Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 949703 (21 May 2015); https://doi.org/10.1117/12.2176588

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image fusion

Wavelets

Wavelet transforms

Data fusion

Fusion energy

Image filtering

Databases

Show All Keywords

Keywords/Phrases

Search In:

Publication Years