Comparative Study of MSVD, PCA, DCT, DTCWT, SWT and Laplacian Pyramid Based Image Fusion

被引：0

作者：

Dwivedy, Prashant ^{[1
]}

Potnis, Anjali ^{[1
]}

Soofi, Shahbaz ^{[1
]}

Mishra, Madhuram ^{[1
]}

机构：

[1] NITTTR Bhopal Madhya Pradesh, Dept Elect & Elect Engn, Bhopal, India

来源：

2017 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SIGNAL PROCESSING AND EMBEDDED SYSTEMS (RISE) | 2017年

关键词：

Image processing; image fusion; DWT; MSVD; PCA; DCT; SWT; Pyramid;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. The resulting image will be more informative than any of the input images. The object of image fusion is to retain the most desirable characteristics of each image which describes a scene better or even higher than any single image with respect to some relevant properties. In this paper objective quality assessment metrics are calculated for existing techniques and a comparative study is made based on the results as to which technique is most suitable for image fusion. The comparative study concludes that DTCWT is the best approach for image fusion.

引用

页码：269 / 273

页数：5

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