文章基本信息

标题：Frequency Partioning Based Image Fusion for CCTV
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作者：Veerpal Kaur ; Jaspreet Kaur
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：4
页码：3968-3972
出版社：TechScience Publications
摘要：Image fusion is the technique of collecting and joining together the best visible and clear image parts to form the best resultant image. The images may be acquired from two different sources or at two different angles or the two different levels of focus. The earlier image fusion techniques implemented fixed levels of decomposition and this acted as the rigid rule for complete image. The image parts which are required being decomposed to lower or higher decomposition levels where improperly decomposed and produced nonoptimized results. Whereas, in my proposed algorithm there is an implementation of the quantized frequency technique which optimize and decompose to a frequency quanta as required according to the pixel intensity and clarity. The decomposition levels are selected using frequency partioning. The frequency partioning provides selection levels of decomposition described in values from 0.0 to 1.0. This quantized system is flexible up to 0.001 values this certainly increases the CPU overhead but provides sharper results with detailed information signal.
关键词：Image Fusion; Discrete Wavelet Transform;(DWT); Frequency portioning; quantization.