Image fusion technique using DT-CWT

S. Sruthy, L. Parameswaran, A. Sasi
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引用次数: 63

Abstract

Image Fusion is the process of combining information of two or more images into a single image which can retain all important features of the all original images. Here the input to fusion involves set of images taken from different modalities of the same scene. Output is a better quality image; which depends on a particular application. The objective of fusion is to generate an image which describes a scene better or even higher than any single image with respect to some relevant properties providing an informative image. These fusion techniques are important in diagnosing and treating cancer in medical fields. This paper focuses on the development of an image fusion method using Dual Tree Complex Wavelet Transform. The results show the proposed algorithm has a better visual quality than the base methods. Also the quality of the fused image has been evaluated using a set of quality metrics.
基于DT-CWT的图像融合技术
图像融合是将两幅或多幅图像的信息合并为一幅图像的过程,该图像可以保留所有原始图像的所有重要特征。在这里,融合的输入涉及从同一场景的不同模式拍摄的一组图像。输出的是质量更好的图像;这取决于特定的应用程序。融合的目标是生成一幅图像,该图像在某些相关属性方面比任何单个图像更好甚至更高地描述场景,从而提供信息丰富的图像。这些融合技术在医学领域对癌症的诊断和治疗具有重要意义。本文研究了一种基于对偶树复小波变换的图像融合方法。实验结果表明,该算法具有较好的视觉质量。同时利用一组质量指标对融合图像的质量进行了评价。
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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