Multimodal image/video fusion rule using generalized pixel significance based on statistical properties of the neighborhood

Shah, P and Srikanth, T V and Merchant, S N and Desai, U B (2014) Multimodal image/video fusion rule using generalized pixel significance based on statistical properties of the neighborhood. Signal, Image and Video Processing, 8 (4). pp. 723-738. ISSN 1863-1703

Full text not available from this repository. (Request a copy)


Image fusion has been receiving increasing attention in the research community with the aim of investigating general formal solutions to a wide spectrum of applications such as multifocus, multiexposure, multispectral (IR-visible) and multimodal medical (CT and MRI) image and video fusion. While there exist many fusion techniques for each of these applications, it is difficult to formulate a common fusion technique that works equally well for all these applications. This is mainly because of the different characteristics of the images involved in various applications and the correspondingly different requirements on the fused image. In this work, we propose a common generalized fusion framework for all these classes, based on the statistical properties of local neighborhood of a pixel. As the eigenvalue of the unbiased estimate of the covariance matrix of an image block depends on the strength of edges in that block, we propose to employ it to compute a quantity we call as the significance of a pixel. This generalized pixel significance in turn can be used as a measure of the useful information content in that block, and hence can be used in the fusion process. Several data sets were fused to compare the results with various recently published methods. The analysis shows that for all the image types into consideration, the proposed methods improve the quality of the fused image, both visually and quantitatively, by preserving all the relevant information.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Article
Uncontrolled Keywords: Image fusion; Medical imaging; Multiexposure images; Multifocus images; Multispectral imaging
Subjects: Others > Electronic imaging & Singal processing
Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 25 Nov 2014 04:56
Last Modified: 25 Nov 2014 04:56
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 937 Statistics for this ePrint Item