@inproceedings{e7767ab0105341bdbd30f0c40e731b7f,
title = "Algorithm of image fusion based on finite ridgelet transform",
abstract = "Finite ridgelet transform (FRIT) overcomes the weakness of wavelet transform representing in two or higher dimensions and FRIT can efficiently represent the singularity of linear in image. When FRIT is applied to image fusion, the characters of original images can be effectively extracted and more important information is preserved. In this paper, we discussed the advantage of FRIT applying to the image fusion and the process of the fusion algorithm based on FRIT in details. Two sets of images are taken as experimental data, subjective and objective standard are used to evaluate the results. The experiment results show that the FRIT algorithm gets much better fusion results than wavelet, and image fusion algorithm based on FRIT is an effective and feasible algorithm.",
keywords = "Finite radon transform, Finite ridgelet transform, Image fusion, Ridgelet transform",
author = "Kun Liu and Lei Guo and Weiwei Chang and Huihui Li",
year = "2007",
doi = "10.1117/12.742247",
language = "英语",
isbn = "9780819469502",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2007",
note = "MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition ; Conference date: 15-11-2007 Through 17-11-2007",
}