可见光与红外图像融合的研究

Kuang Yan, Wu Yunfeng
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引用次数: 0

摘要

通过对信息融合定义的研究和对图像融合性质的分析,将图像融合方法分为空间域和频率域。通过对两者性能的分析和比较,确定了后者的优势和发展前景。在频域,主要介绍了基于二维离散小波变换的融合方法。在高、低滤波器的基础上,将源图像分解为不同空间分辨率下突出图像细节信息的子带图像对。通过对不同子带图像应用不同的融合规则,利用离散逆小波变换得到最终的融合图像。实验结果表明,融合图像成功地反映了目标物体或目标场景的综合信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on image fusion for visible and infrared images
According to study on the definition of information fusion and the analysis about the nature of image fusion, the image fusion method is divided into spatial domain and frequency domain. By analyzing and comparing the performance of the both two, the advantages and prospects of the latter are confirmed. In frequency domain, the fusion method based on two-dimensional discrete wavelet transform is mainly introduced. Based on high and low filters, it decomposes the source image into couples of sub-band images which highlight image's detail information in different spatial resolutions. By means of applying different fusion rules to distinct sub-band images, the final fused image is achieved by using the inverse discrete wavelet transform. The experimental results indicate that the fused image successfully reflects the comprehensive information on the target object or the target scene.
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