Development of image fusion methods and evaluation of quality parameters

dc.contributor.author	Saraswathi, Kancharla	en
dc.contributor.author	Narasarao Pet, A. P.	en
dc.date.accessioned	2015-02-18T09:24:20Z
dc.date.available	2015-02-18T09:24:20Z
dc.date.issued	2015-02-18
dc.identifier.uri	http://hdl.handle.net/11400/6473
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://e-jst.teiath.gr/	en
dc.subject	Discrete cosine transforms
dc.subject	Discrete Wavelet Transforms
dc.subject	Image fusion
dc.subject	Image processing
dc.subject	Laplacian fusion
dc.subject	Wavelet fusion
dc.subject	Διακριτές μετατροπές κυμάτων
dc.subject	Σύντηξη εικόνας
dc.subject	Επεξεργασία εικόνας
dc.subject	Σύντηξη κυματιδίων
dc.title	Development of image fusion methods and evaluation of quality parameters	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Electronics
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρονική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/10455-2
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρονική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007002389
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85064446
heal.language	en
heal.access	free
heal.publicationDate	2015
heal.bibliographicCitation	Saraswathi, K. and Narasarao Pet, A.P. (2015). Development of image fusion methods and evaluation of quality parameters. "e-Journal of Science & Technology". [Online] 10(1): 91-99. Available from: http://e-jst.teiath.gr/	en
heal.abstract	Image processing techniques primarily focus upon enhancing the quality of an image or a set of images and to derive the maximum information from them. Image Fusion is such a technique of producing a superior quality image from a set of available images. It is the process of combining relevant information from two or more images into a single image wherein the resulting image will be more informative and complete than any of the input images. A lot of research is being done in this field encompassing areas of Computer Vision, Automatic object detection, Image processing, parallel and distributed processing, Robotics and remote sensing. This paper reports a detailed study performed over a set of image fusion algorithms regarding their implementation. The paper explains the theoretical and implementation issues of the efficient image fusion algorithms considered and the experimental results of the same. The fusion algorithms were assessed based on the study and development of some image quality metrics. Reported is the study and implementation of image quality metrics that were developed for assessing the image fusion algorithms implemented. The experimental results have been discussed in detail and the inference thus arrived at. The paper, in the later section describes about the image fusion toolkit called Wavelet Fusion and Laplacian Fusion, developed using MATLAB, providing a graphical user interface for the same. A description is provided about the usage of the toolkit in order to fuse the set of input images using the various image fusion algorithms.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true