Publication Type:

Conference Paper

Source:

Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013, Kerala, p.160-164 (2013)

ISBN:

9781467350891

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84880130447&partnerID=40&md5=15aa8d33d3e4380e6e95268ff33c9450

Keywords:

Communication, Complex wavelet transforms, Diagnosis, Dual-tree complex wavelet transform, Fusion techniques, Image fusion, Image fusion methods, Image fusion techniques, Image quality metrics, Important features, Quality control, Shift invariant, Signal reconstruction, Wavelet transforms

Abstract:

Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Here the input to fusion involves set of images taken from different modalities of the same scene. Output is a better quality image; which depends on a particular application. The objective of fusion is to generate an image which describes a scene better or even higher than any single image with respect to some relevant properties providing an informative image. These fusion techniques are important in diagnosing and treating cancer in medical fields. This paper focuses on the development of an image fusion method using Dual Tree Complex Wavelet Transform. The results show the proposed algorithm has a better visual quality than the base methods. Also the quality of the fused image has been evaluated using a set of quality metrics. © 2013 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@4c25a648 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@3bc7e806 Through org.apache.xalan.xsltc.dom.DOMAdapter@41520093; Conference Code:97801

Cite this Research Publication

S. Sruthy, Dr. Latha Parameswaran, and Sasi, A. P., “Image fusion technique using DT-CWT”, in Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013, Kerala, 2013, pp. 160-164.

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