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：5
页码：4774-4781
出版社：TechScience Publications
摘要：Image fusion is the method of to merge significant information from more than one image into a single image. The consequential image has enclosed all the essential information in contrast to input images. The latest image has extracts all the information from source images. Image fusion is a useful method for integration single sensor and multisensor images to improve the information. The key goal of vision fusion is to combining information from various images of the same view in order to deliver only the useful information. The principal component averaging (PCA) based techniques of vision fusion are more appropriate and timesaving in real-time systems utilizing PCA based standards of still images. In this paper a proficient approach for fusion of multi-focus images based on variance calculated in PCA domain is presented. This study work propose a new method which has integrate the joint trilateral filter and Principal component averaging (PCA) domain to reduce the color artifacts which will be introduced due to the transform domain technique i.e. PCA. To do the performance analysis dissimilar metrics will be considered in this paper. The performance of vision fusion is usually evaluated in terms of accuracy, PSNR i.e. Peak Signal Noise Ratio and speed etc.
