{ "ok": true, "doi": "10.46243/jst.2020.v5.i4.pp361-365", "doi_display": "10.46243/jst.2020.v5.i4.pp361-365", "doi_url": "https://doi.org/10.46243/jst.2020.v5.i4.pp361-365", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/643", "title": "Implementation of Wavelet and Curvelet Transform for Image Fusion", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:37", "updated_at": "2026-09-29 23:59:57", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2020.v5.i4.pp361-365", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Implementation of Wavelet and Curvelet Transform for Image Fusion", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2020.v5.i4.pp361-365" } ], "agents": [ { "role": "author", "name": { "given": "", "family": "G.Madhavi" }, "sequence": "first" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2020-08-28", "date_type": "PublicationDate", "online": "2020-08-28" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "05", "issue": "04", "pages": { "first": "361", "last": "365" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/643", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/643/574", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/643/3026", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/643/574", "purpose": "similarity-checking" } ], "abstract": { "value": "This paper introduces a wavelet transform, as well as a second generation curvelet transform, as a basis for the creation of image fusion techniques. We also present a wavelet transform, as well as an image fusion strategy that is founded on the wavelet transform. With the wavelet transform, it is not feasible to correctly represent edges and singularities. So the wavelet transform is used in conjunction with the second generation curvelet transform, and the image fusion process is completed as a result of this combination. This approach is used to a variety of experiments to demonstrate its value, including multi-focus picture fusion and complementary image fusion, in order to demonstrate its effectiveness. Despite the fact that there are a significant number of source pictures employed, the suggested approach manages to maintain critical information from each one of the source images. It is utilised in this work to combine images and apply various wavelet treatments to them. It also makes use of the Second Generation Curvelet Transform, among other things.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0", "start": "2020-08-28", "applies_to": "vor" }, "references": [ { "key": "ref1", "unstructured": "Chao Rui, Zhang Ke, Li Yan-jun, ‘An image fusion algorithm using Wavelet Transform’, Chinese Journal of Electronics, 2004, pp 750- 753" }, { "key": "ref2", "doi": "10.1006/gmip.1995.1022", "unstructured": "Li, H., Manjunath, B.S., Mitra, S.K., ‘Multisensor image fusion using the Wavelet Transform’. Graphical Models Image Process. 1995, pp 235–245" }, { "key": "ref3", "unstructured": "Li, S., Wang, Y., ‘Multisensor image fusion using discrete MultiWavelet Transform’. In: Proc. 3rd Internat. Conf. on VisualComputing, 2000, pp. 93–103" }, { "key": "ref4", "doi": "10.1006/gmip.1995.1022", "unstructured": "Li, H., Manjunath, B.S., Mitra, S.K., ‘Multisensor image fusion using the Wavelet Transform’. Graphical Models Image Process, 1995, pp. 235–245" }, { "key": "ref5", "unstructured": "E. J. Candes, D. L. Donoho. ‘Curvelets: A surprisingly effective nonadaptive representation for objects with edges‘. In: C. Rabut A. Cohen, L. L. Schumaker. Curves and Surfaces. Nashville, TN: Vanderbilt University Press, 2000, pp. 105-120" }, { "key": "ref6", "doi": "10.1002/cpa.10116", "unstructured": "E. J. Candes,D. L. Donoho, ‘New tight frames of curvelets andoptimal representations of objects with singularities’. Commun. On Pure and Appl. Math.2004, pp. 219-266" }, { "key": "ref7", "unstructured": "E. J. Candes, L. Demanet, D.L. Donoho et al.. ‘Fast DiscreteCurvelet Transforms’. Applied and Computational Mathematics. California Institute of Technology 2005" }, { "key": "ref8", "unstructured": "LiHui-hu, i GuoLe, i LiuHang,‘Research on image fusion based onthe second generation curvelet transform’. Acta Optica Sinica, 2006, pp. 657-662" }, { "key": "ref9", "doi": "10.1109/tencon.2002.1181347", "unstructured": "Huang Xishan, Chen Zhe. ‘A wavelet based scene image fusion algorithm’. Proceedings of IEEE TENCON 2002. Piscateway, USA, IEEE Press, 2002, pp. 602-605" }, { "key": "ref10", "doi": "10.1109/tip.2002.1014998", "unstructured": "Starck J. L, Candes E. J, Donoho D. L, ‘The Curvelet Transform for image denosing’. IEEE Trans Image Process, 2002, pp. 670- 684. 365 | 5" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-10", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "48fa5155118bae4ce0b9ee5a1a719ab1a85d4bec54fa7e14504ed4f93ccaed1b", "handle": { "synced_at": "2026-10-01 18:13:50", "url": "https://www.jst.org.in/index.php/pub/article/view/643" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjst.2020.v5.i4.pp361-365", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2020.v5.i4.pp361-365&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjst.2020.v5.i4.pp361-365", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2020.v5.i4.pp361-365&as=xml" } }