基于对比度的小波包图像融合
A new Contrast Based Image Fusion using Wavelet Packets
摘要：
图像融合是一种将同一场景中不同图像的互补信息进行融合，使融合后的图像更适合于分割、特征提取、目标识别和人类视觉系统的技术。本文提出了一种简单而有效的基于小波包分解的对比度算法。首先将源图像分解为低频子带和高频子带，然后采用直接对比度法对高频子带进行融合。然后对融合后的图像进行小波包逆变换重构。通过与现有算法的比较，验证了该算法的性能。
英文摘要：
Image Fusion, a technique which combines complimentary information from different images of the same scene so that the fused image is more suitable for segmentation, feature extraction, object recognition and Human Visual System. In this paper, a simple yet efficient algorithm is presented based on contrast using wavelet packet decomposition. First, all the source images are decomposed into low and high frequency sub-bands and then fusion of high frequency sub-bands is done by the means of Directive Contrast. Now, inverse wavelet packet transform is performed to reconstruct the fused image. The performance of the algorithm is carried out by the comparison made between proposed and existing algorithm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
