Image fusion based circular wavelet and regularized rule

被引：0
|
作者：
Lin Jipeng [1 ]
Liu Junhua [2 ]
机构：
[1] Chang Univ, Sch Elect & Control, Xian 710054, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Elect Engn, Xian 710049, Peoples R China
来源：
CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CISP.2008.420
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Images fusion using the wavelet approach provides a conceptual framework for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. A method based on regularized rule is presented to fuse the coefficients of two source images in every level of wavelet transform. The frequency band of decomposition coefficients is also discussed, and a simple way to reconstructed wavelet based on circular convolution is proposed to solve the image boundary effect. As a result,the fused image is less distort than each source image.
引用
收藏
页码：632 / +
页数：2
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