Multi-sensor Image Fusion with SCDPT Transform

被引：0

作者：

Hu, Qian ^{[1
]}

Du, Junping ^{[1
]}

Han, Pengcheng ^{[1
]}

Li, Qingping ^{[1
]}

Zhang, Zhenghong ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100876, Peoples R China

来源：

2013 15TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT) | 2013年

关键词：

Image fusion; SCDPT; the structure similarity; regional energy; average gradient; NONSUBSAMPLED CONTOURLET TRANSFORM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A multi-sensor image fusion algorithm based on SCDPT transform is proposed in this paper. SCDPT transform is used to decompose source images in each scale and direction to get low-pass sub-band coefficients and band-pass directional sub-band coefficients. The principle for low-pass sub-band coefficients is based on structural similarity (SSIM), regional energy and regional average gradient, while the principle for directional band-pass sub-band coefficients is based on SSIM and regional variance. Finally, fused image is obtained by SCDPT inverse transform. The proposed method is compared to the wavelet transform, Laplacian pyramid transform and gradient pyramid transform. Our algorithm not only has more flexible directional and shift invariance, but also is able to accurately capture the image information of the contour feature and texture details.

引用

页码：780 / 785

页数：6

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