Multi-resolution image fusion technique and its application to forensic science

被引:45
作者
Wen, CY [1 ]
Chen, JK [1 ]
机构
[1] Cent Police Univ, Dept Forens Sci, Taoyuan 33334, Taiwan
关键词
image fusion; multi-resolution analysis; forensic image processing;
D O I
10.1016/j.forsciint.2003.11.034
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
Image fusion is a process of combining two or more images into an image. It can extract features from source images, and provide more information than one image can. Multi-resolution analysis plays an important role in image processing, it provides a technique to decompose an image and extract information from coarse to fine scales. In some practical forensic examinations (such as the cartridge image check), we cannot obtain all information from just one image; on the contrary, we need information from images with difference light sources (or light ways). In this paper, we apply an image fusion method based on multi-resolution analysis to forensic science. Synthetic and real images (such as images from closed-up photography and flash photography) are used to show the capability of the multi-resolution image fusion technique. (C) 2004 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:217 / 232
页数:16
相关论文
共 15 条
[1]  
Adelson EH., 1984, RCA Engineer, V29, P33
[2]  
[Anonymous], DIGITAL IMAGE PROCES
[3]  
Burt P. J., 1993, [1993] Proceedings Fourth International Conference on Computer Vision, P173, DOI 10.1109/ICCV.1993.378222
[4]   THE LAPLACIAN PYRAMID AS A COMPACT IMAGE CODE [J].
BURT, PJ ;
ADELSON, EH .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1983, 31 (04) :532-540
[5]   Nonlinear multiresolution signal decomposition schemes - Part II: morphological wavelets [J].
Heijmans, HJAM ;
Goutsias, J .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (11) :1897-1913
[6]  
Hill D., 1994, Image Processing, V6, P22
[7]  
Koren I, 1995, INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOLS I-III, pC232
[8]   Image fusion by using steerable pyramid [J].
Liu, Z ;
Tsukada, K ;
Hanasaki, K ;
Ho, YK ;
Dai, YP .
PATTERN RECOGNITION LETTERS, 2001, 22 (09) :929-939
[9]  
MANJUNATH BS, 1995, GRAPH MODEL IM PROC, V57, P235
[10]  
Marr D., 1982, Vision