文章基本信息

标题：Image Deblurring Using DCT and PCA Based Fusion Technique With Bilateral Filter
本地全文：下载
作者：Veni Maheshwari ; Seema Baghla
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：365-371
语种：English
出版社：Ayushmaan Technologies
摘要：The image fusion is becoming one of the hottest techniques in vision applications. Many image fusion methods have been developed so far and provide good results. But is is found that developed methods are if accurate then they are time consuming or if they are slow then provide poor results. The main objective of image fusion is to combine information from multiple images of the same scene in order to deliver only the useful information. The Discrete Cosine Transforms (DCT) based methods of image fusion are more suitable and time-saving in real-time systems using DCT based standards of still image. DCT based image fusion produced results but with lesser clarity, less PSNR value and more Mean square error. Therefore the overall objective is to improve the results by integrating the DCT based fusion with PCA based fusion and also bilateral filter is used to remove the remaining anomalies.
关键词：PCA;Image Fusion;DCT Technique;Bilateral Filter