文章基本信息

标题：Image Enhancement by Fusion in Contourlet Transform
本地全文：下载
作者：Melkamu H. Asmare ; Vijanth S. Asirvadam ; Lila Iznita 等
期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2010
卷号：2
期号：1
出版社：School of Electrical Engineering and Informatics
摘要：Most existing image enhancement algorithms work on a single image. Their performance is limited to the capacity of the sensor by which the image is taken. In some cases they completely fail to provide us the necessary enhancements. This paper proposes a composite image approach for enhancing still images. The approach proposed combines the relevant features of the input images and produce a composite image which is rich in information content for human eye. The input images are first decomposed into multiple resolutions by using the contourlet transform which provides a better representation than the conventional transforms. Transformed coefficients are combined with a predefined fusion rules. The resultant image is found by performing inverse contourlet transformation of the composite image. The results found are encouraging and the algorithm does not introduce any distortion for applications in low light and/or non uniform lighting conditions. The composite image also contains almost all of the salient features of the input images
关键词：Image Enhancement; Single image; Composite Image; Fusing Images; Contoulet;Transform.