Title of Paper:Image fusion in compressive sensing based on Piella index

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Date of Publication:2012-05-01

Journal:Journal of Convergence Information Technology

Included Journals:EI、Scopus

Volume:7

Issue:8

Page Number:354-362

ISSN No.:19759320

Abstract:This paper addresses a new problem-image fusion in Compressive sensing (CS). CS has received more and more research interests for its compression capability, and image fusion in CS framework becomes a new topic. It can be achieved by two ways: one is conducting fusion after the reconstruction, and the other is performing reconstruction after the fusion. In this paper, we take the middle way. A novel image fusion method in CS based on Piella index is proposed. Firstly, we acquire a rough description of the source images from the measurements. Secondly, the weights are determined to maximizing the Piella index. Thirdly, the measurements of input images are directly fused into a composite measurement. Finally, the fusion image is reconstructed from the composite measurement. Experiment results show the performance of the proposed method is better than that of other methods in terms of the metric and the visual quality.