文章基本信息

标题：Design and Analysis of Fusion Algorithm for Multi-Frame Super-Resolution Image Reconstruction using Framelet
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作者：K. Joseph Abraham Sundar ; V. Vaithiyanathan ; G. Raja Singh Thangadurai 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2015
卷号：65
期号：4
页码：292-299
DOI：10.14429/dsj.65.8265
语种：English
出版社：Defence Scientific Information & Documentation Centre
摘要：A enhanced fusion algorithm for generating a super resolution image from a sequence of low-resolution images captured from identical scene apparently a video, based on framelet have been designed and analyzed. In this paper an improved analytical method of image registration is used which integrates nearest neighbor method and gradient method. Comparing to Discrete Wavelet Transform (DWT) the Framelet Transform (FrT) have tight frame filter bank that offers symmetry and permits shift in invariance. Therefore using framelet this paper also present a framelet based enhanced fusion for choosing the fused framelet co-efficient that provides detailed edges and good spatial information with adequate de-noising. The proposed algorithm also has high advantage and computationally fast which are most needed for satellite imaging, medical imaging diagnosis, military surveillance, remote sensing etc. Defence Science Journal, Vol. 65, No. 4, July 2015, pp. 292-299, DOI: http://dx.doi.org/10.14429/dsj.65.8265
关键词：Framelet, super resolution, image registration, tight frames