Image fusion using the Parameterized Logarithmic Dual Tree Complex Wavelet Transform

S. Nercessian, K. Panetta, S. Agaian
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引用次数: 2

Abstract

Image fusion combines multiple images into a single image containing the relevant information from each of the original source images. This paper introduces a new Parameterized Logarithmic Dual Tree Complex Wavelet Transform (PL-DT-CWT) and its application for image fusion. The new transform combines the Dual Tree Complex Wavelet Transform (DT-CWT) with the Parameterized Logarithmic Image Processing (PLIP) model, a nonlinear image processing framework for processing images. Experimental results via computer simulations illustrate the improved performance of the proposed algorithms by both qualitative and quantitative means.
基于参数化对数对偶树复小波变换的图像融合
图像融合将多个图像合并为单个图像,其中包含来自每个原始源图像的相关信息。介绍了一种新的参数化对数对偶树复小波变换(PL-DT-CWT)及其在图像融合中的应用。该变换将对偶树复小波变换(DT-CWT)与参数化对数图像处理(PLIP)模型(一种用于处理图像的非线性图像处理框架)相结合。计算机仿真实验结果表明,本文提出的算法在定性和定量方面都取得了较好的效果。
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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