文章基本信息

标题：FUSION OF MULTIPLE IMAGES USING SUPPORT VECTOR MACHINE AND DISCRETE WAVELET TRANSFORM
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作者：N.S. Labhade ; Ashwini Y. Chopade ; Shubhangi S. Dhumal 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：3
页码：768-771
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Fusion method is the method in which multiple images acquired from many sensors are integrated which produces a single image having appropriate important information from the images. Image fusion method provides a fantastic way to reduce all unwanted information and extract the important or suitable information. In this image fusion method DWT and SVM has an significant role for appropriate results. Extraction of relevant features is done by DWT and SVM mainly provides classification of the coefficients obtained after applying DWT. By using DWT computation time, resolution and storage space gets reduce. The fusion method includes feature extraction of the DWT sub bands such as energy, entropy, PSNR, mutual information, MSE. And the classification of such various features can be done by using SVM which is a best classifier. Results on analysis shows that quality of image which is fused is improved for multimodal image.
关键词：Discrete Wavelet Transform (DWT); Support ; Vector Machine (SVM); Fusion of images; Wavelet ; coefficients.