Image fusion with contrast improving and feature preserving

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106867

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106867

Title:	Image fusion with contrast improving and feature preserving
Authors:	曾定章;Tseng, Din-Chang;Chou, Chang-Min;Liu, Yu-Shuo
Contributors:	資訊電機學院資訊工程學系
Keywords:	Computer vision;Engineering;Human factors research;Image contrast;Image filters;Image processing;Infrared filters;Infrared imagery;Mathematical analysis;Maximum entropy method;Preserves;Preserving;Remote sensing;Rule based;Wavelet transforms
Date:	2015-01-01
Issue Date:	2026-04-23 13:47:06 (UTC+8)
Publisher:	Hindawi Publishing Corporation;Cairo, Egypt: Hindawi Publishing Corporation
Abstract:	摘要： The goal of image fusion is to obtain a fused image that contains most significant information in all input images which were captured by different sensors from the same scene. In particular, the fusion process should improve the contrast and keep the integrity of significant features from input images. In this paper, we propose a region-based image fusion method to fuse spatially registered visible and infrared images while improving the contrast and preserving the significant features of input images. At first, the proposed method decomposes input images into base layers and detail layers using a bilateral filter. Then the base layers of the input images are segmented into regions. Third, a region-based decision map is proposed to represent the importance of every region. The decision map is obtained by calculating the weights of regions according to the gray-level difference between each region and its neighboring regions in the base layers. At last, the detail layers and the base layers are separately fused by different fusion rules based on the same decision map to generate a final fused image. Experimental results qualitatively and quantitatively demonstrate that the proposed method can improve the contrast of fused images and preserve more features of input images than several previous image fusion methods. 出版者： Cairo, Egypt: Hindawi Publishing Corporation 出版日期： 2015-01-01 出處： Mathematical problems in engineering, 2015-01, Vol.2015 (2015), p.1-14 資源來源：華藝CEPS中文電子期刊服務版權： Copyright © 2015 Din-Chang Tseng et al. 版權： Copyright © 2015 Din-Chang Tseng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 識別號： ISSN: 1024-123X 識別號： ISSN: 1026-7077 識別號： ISSN: 1563-5147 識別號： EISSN: 1563-5147 識別號： DOI: 10.1155/2015/603195
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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