文章基本信息

标题：Alternating Current Coefficients in DCT Based Image Fusion with Saturation Weighting
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作者：Harkamal Preet Kaur ; Sunny Dhawan
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：6
页码：4929-4935
出版社：TechScience Publications
摘要：The main goal of vision fusion is to blending information from multiple images of the same seen to produce more informative image. The DCT centered methods of vision fusion are considerably better and time-saving in real-time systems. In this dissertation an successful strategy fusion of multi-focus image based on difference determined in DCT domain is presented. This research work has proposed a new method which will combine the max valued Alternating Current (AC) coefficients determine in a DCT domain based fusion with saturation weighting based color constancy. The saturation weighting based color constancy has the ability to reduce the artifacts colors in fused image, which will be introduced because of the transform domain method i.e. DCT domain. The fusion process may degrade the sharpness of edges in the digital images so to overcome this problem sorted switching median filter is a integrate with planned algorithm to enhance the outcome further. To accomplish the performance evaluation of the proposed technique various metrics are considered in this dissertation. The performance of vision fusion is generally evaluated in terms of PSNR, MSE, Mean error, spatial frequency etc. The experimental results has clearly revealed that the proposed technique outperforms over the available techniques.
关键词：Image fusion; Discrete cosine transform; variance;saturation weighting; sorted switching median filter.