吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 525-530.doi: 10.13229/j.cnki.jdxbgxb201402039

• paper • Previous Articles     Next Articles

Multifocus image fusion based on nonsubsampled Bandelet transform

YANG Yang1,2, DAI Ming1, ZHOU Luo-yu1,2, SUN Ming-chao1   

  1. 1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-10-29 Online:2014-02-01 Published:2014-02-01

RICH HTML

0   

PDF (PC)

525

Abstract:

A novel fusion algorithm based on nonsubsampled Bandelet transform is proposed for the multifocus images of same scene. First, the average image is calculated from the source images, after that the best geometric flow is computed using the wavelet coefficients of the image and a Bandelet basis is constructed. Secondly, the source images are represented using the Bandelet basis, and then the obtained coefficients are fused respectively according to their physical significance. Finally, the fused coefficients are applied on the inverse nonsubsampled Bandelet transform to obtain the fused image. The experiment results indicate that, compared with the fusion methods based on Wavelet transform and nonsubsampled Wavelet transform, respectively, the proposed method can provide better fusion quality in terms of both visual sense and quantified measure.

Key words: information processing technology, image fusion, nonsubsampled Bandelet transform, multiscale analysis

CLC Number: 

  • TP391

[1] 刘坤, 郭雷, 陈敬松. 基于有限脊波变换和Cycle spinning的图像融合算法[J].吉林大学学报:工学版, 2010, 40(4):1075-1080. Liu Kun, Guo Lei, Chen Jing-song. Image fusion algorithm based on finite ridgelet transform and cycle spinning[J]. Journal of Jilin University (Engineering and Technology Edition), 2010, 40(4): 1075-1080.

[2] 孙伟, 郭宝龙, 陈龙. 非降采样Contourlet域方向区域多聚焦图像融合算法[J]. 吉林大学学报:工学版, 2009, 39(5): 1384-1389. Sun Wei, Guo Bao-long, Chen Long. Multifocus image fusion algorithm based on directional window statistics in nonsubsampled contourlet domain[J]. Journal of Jilin University (Engineering and Technology Edition), 2009, 39(5): 1384-1389.

[3] Peyré G, Mallat S. Surface compression with geometric Bandelets[J]. ACM Transactions on Graphics, 2005, 24(3): 601-608.

[4] Mallat S, Peyré G. Orthogonal Bandlet bases for geometric images approximation[J]. Communications on Pure and Applied Mathematics, 2008, 61(9): 1173-1212.

[5] Mallat S. A Wavelet Tour of Signal Processing: the Sparse Way[M]. 3rd ed. Burlington: Elsevier, 2009.

[6] Pennec E Le, Mallat S. Sparse geometric image representation with Bandelets[J]. IEEE Transactions on Image Processing, 2004, 14(4): 423-438.

[7] Qu G H, Zhang D L, Yan P F. Information measure for performance of image fusion[J]. Electronic Letters, 2002, 38 (7): 313-315.

[8] Xydeas C S, Petrovic V. Objective image fusion performance measure[J]. Electronic Letters, 2000, 36 (4): 308-309.
[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] LIU Zhe, XU Tao, SONG Yu-qing, XU Chun-yan. Image fusion technology based on NSCT and robust principal component analysis model with similar information [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1614-1620.
[5] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[6] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[7] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[8] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[9] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[10] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[11] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[12] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[13] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[14] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[15] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd