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首页> 外文期刊>International journal of image and data fusion >A novel image fusion algorithm using an NSCT and a PCNN with digital filtering
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A novel image fusion algorithm using an NSCT and a PCNN with digital filtering

机译：一种使用NSCT和PCNN进行数字滤波的新颖图像融合算法

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摘要

Image fusion is an important task in both image processing and computer vision research that use multisensor processing and multiscale analysis. This paper proposed a novel image fusion algorithm using a nonsubsampled contourlet transform (NSCT) and a pulse-coupled neural network (PCNN) with digital filtering. First, we decomposed two original images into a low-frequency and a series of high-frequency subband coefficients based on the NSCT and repeated that step for the next low-frequency subband. Second, each low-frequency subband coefficient in different levels in the frequency domain for both images was duplicated, and then these low-frequency subband coefficients of different levels from two different images were processed through a Laplacian filter and an average filter. The Laplacian filter can improve the performance of both edge and texture representation; the average filter can implement image smoothing for creating a superior reconstruction of an image via the low-frequency subband coefficients of the frequency domain in image processing. Moreover, the coupling coefficients from different images were fused by using the PCNN. Finally, reconstructed a fused image based on low- and high-frequency subband coefficients in different scales and directions using the inverse NSCT. Experimental results show that the proposed algorithm is superior to state-of-the-art conventional image fusion algorithms.
机译：在使用多传感器处理和多尺度分析的图像处理和计算机视觉研究中，图像融合都是一项重要任务。本文提出了一种新的图像融合算法，该算法使用非下采样轮廓波变换（NSCT）和带有数字滤波的脉冲耦合神经网络（PCNN）。首先，基于NSCT，我们将两个原始图像分解为一个低频和一系列高频子带系数，并针对下一个低频子带重复该步骤。其次，复制两个图像在频域中处于不同级别的每个低频子带系数，然后通过拉普拉斯滤波器和平均滤波器处理来自两个不同图像的这些不同级别的低频子带系数。拉普拉斯滤镜可以提高边缘和纹理表示的性能；平均滤波器可以实现图像平滑，以在图像处理中经由频域的低频子带系数来创建图像的优异重建。此外，使用PCNN融合了来自不同图像的耦合系数。最后，使用逆NSCT，基于不同比例和方向的低频和高频子带系数重建融合图像。实验结果表明，该算法优于最新的传统图像融合算法。

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