Pixel based multifocus image fusion using Non linear filter

S. Sawant, Deepak Jayaswal
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引用次数: 0

Abstract

In this paper we present a modified cross bilateral filter approach to fuse multifocus images by considering the edge information of the respective source images. Modified cross bilateral filter(MCBF) smooths the images while preserving its sharp edges. In proposed method, details of the source images are obtained by filtering the source images using MCBF and subtracting these filtered images with the respective source images. The details obtained are used to compute the weights and then the final fused image is obtained using fusion rule. The performance of proposed method is compared with the other existing methods and it is observed that the proposed method produces better results as compared to the other methods. The proposed method increases the quality of the final fused image significantly, both visually and quantitatively, by preserving all the relevant information of the source images.
基于像素的非线性滤波多焦点图像融合
本文提出了一种改进的交叉双边滤波方法,通过考虑各自源图像的边缘信息来融合多聚焦图像。改进的交叉双边滤波器(MCBF)在保持图像锐利边缘的同时使图像平滑。该方法利用MCBF对源图像进行滤波,并将滤波后的图像与相应的源图像相减,从而获得源图像的详细信息。将得到的细节信息用于计算权重,然后利用融合规则得到最终的融合图像。将所提方法的性能与其他已有方法进行了比较,结果表明所提方法的效果优于其他方法。该方法通过保留源图像的所有相关信息,在视觉和定量上显著提高了最终融合图像的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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