图像融合论文及代码网址整理总结(3)——题目中未加区分的图像融合算法

写在前面的话:

之前写过两篇博文,针对性地整理汇总了多聚焦图像融合和红外与可见光图像融合的算法。之所以这样分类,是基于论文的标题和内容中明确指出了所处理的图像类型。

而本篇博文主要整理那些论文标题中未明确指出所处理的图像对象。换句话说,作者提出的算法既可以处理多聚焦图像,也可以处理红外与可见光等多模态图像(包括医学图像融合)(当然,这些也可以在论文的实验部分看到),多曝光图像等。

整理这些的初衷,是为了方便自己,顺便也给同领域的研究者在找代码等方面提供些许便利。另外,该领域的文章很多,本篇博文也只是整理了其中的一部分,并且,本人不会对论文内容做过多评论。

 

同系列的博文还有:

图像融合论文及代码网址整理总结(1)——多聚焦图像融合

图像融合论文及代码网址整理总结(2)——红外与可见光图像融合

图像融合数据集,图像融合数据库

====================== 分 ========== 割 ========== 线 ======================

目录

【2019】

1、文章:A survey on region based image fusion methods  【综述文章】

【2018】

1、文章:Deep learning for pixel-level image fusion: Recent advances and future prospects     【综述文章】【深度学习】

2、文章:Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain

3、文章:Image Fusion through Deep Convolutional Neural Network and Laplacian Pyramid(点击下载文章)     【CNN】【深度学习】

4、文章:Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review     【综述文章】

5、文章:Structure-aware image fusion

6、文章:Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain  【CNN】【深度学习】

7、文章:Scale-Invariant Structure Saliency Selection for Fast Image Fusion

【2017】

1、文章:Pixel-level image fusion: A survey of the state of the art【综述文章】

2、文章:Simultaneous image fusion and denosing with adaptive sparse representation

3、文章:A medical image fusion method based on convolutional neural networks     【深度学习】

【2016】

1、文章:Image fusion with convolutional sparse representation     【CSR】

2、文章:Joint patch clustering-based dictionary learning for multimodal image fusion     【JCPD】

3、文章:Image fusion via nonlocal sparse K-SVD dictionary learning     【SR】【字典学习】

4、文章:Remote Sensing Image Fusion with Convolutional Neural Network  【CNN】【遥感图像融合】

【2015】

1、文章:A general framework for image fusion based on multi-scale transform and sparse representation(点击下载文章)     【MST-SR】

2、文章:Simultaneous image fusion and denosing with adaptive sparse representation  【ASR】

3、文章:Sparse representation with learned multiscale dictionary for image fusion

【2014】

1、文章:Visual attention guided image fusion with sparse representation

2、文章:Multimodal image fusion via sparse representation with local patch dictionaries     【LPD】

3、文章:Medical image fusion: A survey of the state of the art     【综述文章】【医学图像融合】

4、文章:Hybrid DDCT-PCA based multi sensor image fusion(点击下载文章)

【2013】

1、文章:Simultaneous image fusion and super-resolution using sparse representation

2、文章:Image fusion with guided filtering(点击下载文章)    【GFF】

3、文章:Dictionary learning method for joint sparse representation-based image fusion(点击下载文章)     【JSR】

4、文章:A Neuro-Fuzzy Approach for Medical Image Fusion 【医学图像融合】

5、文章:Image fusion based on pixel significance using cross bilateral filter 【CBF】

6、文章:Multifocus and Multispectral Image Fusion based on Pixel Significance using Discrete Cosine Harmonic Wavelet Transform  【DCHWT】

【2012】

1、文章:Group-sparse representation with dictionary learning for medical image denoising and fusion     【GSR】

2、文章:Pixel-level image fusion with simultaneous orthogonal matching pursuit     【SOMP】

3、文章:Image fusion using higher order singular value decomposition  【HOSVD】

4、文章:NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency(点击下载文章)     【医学图像融合】

【2011】

1、文章:Multimodal image fusion with joint sparsity model     【JSR】

2、文章:Image Features Extraction and Fusion Based on Joint Sparse Representation    【JSR】

3、文章:Image fusion technique using multi-resolution singular value decomposition(点击下载文章)     【MSVD】

4、文章:Generalized Random Walks for Fusion of Multi-Exposure Images 【多曝光图像融合】

【2008】

1、文章:Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain

【2007】

1、文章:A novel image fusion algorithm based on bandelet transform

【2003】

1、文章:A general framework for multiresolution image fusion: from pixels to regions【综述文章】【关于传统的多分辨率的图像融合】


 

【2019】

1、文章:A survey on region based image fusion methods  【综述文章】

Paper:https://doi.org/10.1016/j.inffus.2018.07.010

作者:Bikash Meher, Sanjay Agrawal, Rutuparna Panda,  Ajith Abraham

 

【2018】

1、文章:Deep learning for pixel-level image fusion: Recent advances and future prospects     【综述文章】【深度学习】

Paper:https://doi.org/10.1016/j.inffus.2017.10.007

作者:

刘羽,合肥工业大学讲师。硕导。

主页:

http://www.escience.cn/people/liuyu1/index.html(科研在线 科研主页)

https://sites.google.com/site/yuliu316316/(Google学术主页)

陈勋,中国科学技术大学,教授,博导。

主页:

http://staff.ustc.edu.cn/~xunchen/Chinese.htm(中文主页)

http://staff.ustc.edu.cn/~xunchen/

https://scholar.google.com.hk/citations?user=aBnUWyQAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

汪增福,中国科学技术大学教授,博导。

主页:https://scholar.google.com.hk/citations?user=uDtOVBAAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

Rabab Ward,the University of British Columbia,Canada

主页:http://ipl.ece.ubc.ca(学校个人主页)

https://scholar.google.com.hk/citations?hl=zh-CN&user=dqsw1u8AAAAJ&view_op=list_works&sortby=pubdate(Google学术主页)

 

2、文章:Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain

Paper:https://ieeexplore.ieee.org/document/8385209(DOI: 10.1109/TIM.2018.2838778)

Code:http://www.escience.cn/people/liuyu1/Codes.html

作者:刘羽,合肥工业大学讲师。硕导。

 

3、文章:Image Fusion through Deep Convolutional Neural Network and Laplacian Pyramid(点击下载文章)     【CNN】【深度学习】

作者:B. Asha Latha, M. Babu Reddy, Krishna University, Machilipatnam, India

 

4、文章:Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review     【综述文章】

Paper:https://doi.org/10.1016/j.inffus.2017.05.006

作者:张强,西安电子科技大学机电工程学院。

 

5、文章:Structure-aware image fusion

Cite as:

Wen L , Yuange X , Haole Z , et al. Structure-aware image fusion[J]. Optik, 2018, 172:1-11.

Paper:https://doi.org/10.1016/j.ijleo.2018.06.123

Code:https://github.com/kunzhan/Structure-Aware_Image_Fusion

作者:绽琨,兰州大学。

主页:https://kunzhan.github.io

GitHub地址:https://github.com/kunzhan

 

6、文章:Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain  【CNN】【深度学习】

Paper:https://doi.org/10.1007/s00521-018-3441-1

作者:Haithem Hermessi,Olfa Mourali, Ezzeddine Zagrouba

 

7、文章:Scale-Invariant Structure Saliency Selection for Fast Image Fusion

Paper:https://arxiv.org/abs/1810.12553

https://www.researchgate.net/publication/328627579_Scale-Invariant_Structure_Saliency_Selection_for_Fast_Image_Fusion

作者:Yixiong Liang(梁毅雄),中南大学

主页:https://sites.google.com/site/liangyixiong/

 

【2017】

1、文章:Pixel-level image fusion: A survey of the state of the art【综述文章】

Cite as:

Li S , Kang X , Fang L , et al. Pixel-level image fusion: A survey of the state of the art[J]. Information Fusion, 2017, 33:100-112.

Paper:https://doi.org/10.1016/j.inffus.2016.05.004

作者:

李树涛,湖南大学。教授,博导。(http://gra.hnu.edu.cn/dsdw/jcrc/zjxztpjs.htm,大牛的主页进不去)

康旭东,湖南大学博士。导师:李树涛。

主页:http://xudongkang.weebly.com

方乐缘,湖南大学博士, 副教授,博士生导师。导师:李树涛。

主页:http://www.escience.cn/people/LeyuanFang/index.html(科研在线 科研主页)

胡建文,长沙理工大学电气与信息工程学院。

主页:http://www.csust.edu.cn/dq/info/1084/4094.htm(教师主页)

尹海涛,南京邮电大学。

主页:http://yjs.njupt.edu.cn/epstar/web/outer/dsfc_ny_.jsp?dsgh=20130018(教师主页)

 

2、文章:Simultaneous image fusion and denosing with adaptive sparse representation

Cite as:

Yu Liu, Zengfu Wang, Simultaneous image fusion and denosing with adaptive sparse representation, IET Image Processing, 9(5): 347-357, 2015. 

Paper:https://ieeexplore.ieee.org/abstract/document/7095698(DOI: 10.1049/iet-ipr.2014.0311)

Code:http://www.escience.cn/people/liuyu1/Codes.html

作者:刘羽,合肥工业大学讲师。硕导。

主页:

http://www.escience.cn/people/liuyu1/index.html(科研在线 科研主页)

https://sites.google.com/site/yuliu316316/(Google学术主页)

 

3文章:A medical image fusion method based on convolutional neural networks     【深度学习】

Cite as:

Yu Liu, Xun Chen, Juan Cheng,Hu Peng, “A medical image fusion method based on convolutional neural networks”, 20th International Conferenceon Information Fusion (ICIF), Xi’an, China, July 10-13, 2017, pp.1070-1076.

Paper:https://ieeexplore.ieee.org/document/8009769/(DOI: 10.23919/ICIF.2017.8009769)

Code:http://www.escience.cn/people/liuyu1/Codes.html(刘羽)

 

【2016】

1、文章:Image fusion with convolutional sparse representation     【CSR】

Cite as:

Yu Liu, Xun Chen, Rabab Ward, Z. Jane Wang, Image fusion with convolutional sparse representation, IEEE Signal Processing Letters, 23(12): 1882-1886, 2016.

Paper:https://ieeexplore.ieee.org/document/7593316(DOI: 10.1109/LSP.2016.2618776)

Code:http://www.escience.cn/people/liuyu1/Codes.html

作者:刘羽,合肥工业大学讲师。硕导。中科大博士,导师:汪增福。

主页:

http://www.escience.cn/people/liuyu1/index.html(科研在线 科研主页)

https://sites.google.com/site/yuliu316316/(Google学术主页)

 

2、文章:Joint patch clustering-based dictionary learning for multimodal image fusion     【JCPD】

Paper:https://doi.org/10.1016/j.inffus.2015.03.003

作者:Minjae Kim,David K. Han,Hanseok Ko

 

3、文章:Image fusion via nonlocal sparse K-SVD dictionary learning     【SR】【字典学习】

Paper:https://www.osapublishing.org/ao/abstract.cfm?uri=ao-55-7-1814(DOI:10.1364/AO.55.001814)

作者:Ying Li, Fangyi Li, Bendu Bai, and Qiang Shen(西北工业大学)

 

4、文章:Remote Sensing Image Fusion with Convolutional Neural Network  【CNN】【遥感图像融合】

Paper:https://link.springer.com/article/10.1007%2Fs11220-016-0135-6

 

【2015】

1、文章:A general framework for image fusion based on multi-scale transform and sparse representation(点击下载文章)     【MST-SR】

Cite as:

Yu Liu, Shuping Liu, Zengfu Wang, A general framework for image fusion based on multi-scale transform and sparse representation,Information Fusion, 24: 147-164, 2015. 

Paper:https://doi.org/10.1016/j.inffus.2014.09.004

Code:http://www.escience.cn/people/liuyu1/Codes.html

(本文的代码中也包含了传统经典的基于多尺度分解的图像融合算法代码。内容丰富。)

作者:

刘羽,合肥工业大学讲师。硕导。中科大博士,导师:汪增福。

主页:

http://www.escience.cn/people/liuyu1/index.html(科研在线 科研主页)

https://sites.google.com/site/yuliu316316/(Google学术主页)

汪增福

Google学术主页:https://scholar.google.com.hk/citations?user=uDtOVBAAAAAJ&hl=zh-CN&oi=sra

 

2、文章:Simultaneous image fusion and denosing with adaptive sparse representation  【ASR】

Cite as:

Yu Liu, Zengfu Wang, Simultaneous image fusion and denosing with adaptive sparse representation, IET Image Processing, 9(5): 347-357, 2015.

Paper:https://ieeexplore.ieee.org/abstract/document/7095698

(DOI: 10.1049/iet-ipr.2014.0311)

Code:http://www.escience.cn/people/liuyu1/Codes.html(刘羽)

 

3、文章:Sparse representation with learned multiscale dictionary for image fusion

Paper:https://doi.org/10.1016/j.neucom.2014.07.003

作者:尹海涛,南京邮电大学。

学校主页:http://yjs.njupt.edu.cn/epstar/web/outer/dsfc_ny_.jsp?dsgh=20130018

 

【2014】

1、文章:Visual attention guided image fusion with sparse representation

Paper:https://doi.org/10.1016/j.ijleo.2014.04.036

作者:杨斌,李树涛,湖南大学。

杨斌,南华大学电气工程学院,湖南大学博士(导师:李树涛)

主页:http://tutor.eol.cn/web/school/info?school_id=73&dsid=955(教师主页)

 

2、文章:Multimodal image fusion via sparse representation with local patch dictionaries     【LPD】

Paper:https://ieeexplore.ieee.org/document/6738268/

作者:Minjae Kim,David K. Han,Hanseok Ko

 

3、文章:Medical image fusion: A survey of the state of the art     【综述文章】【医学图像融合】

Paper:https://doi.org/10.1016/j.inffus.2013.12.002

作者:Alex PappachenJames,Belur V.Dasarathy

Belur V.Dasarathy

主页:

https://scholar.google.com/citations?user=qiWt7LEAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

http://belur.tripod.com/index.html

 

4、文章:Hybrid DDCT-PCA based multi sensor image fusion(点击下载文章)

Paper:https://link.springer.com/article/10.1007/s12596-013-0148-7

Code:https://ww2.mathworks.cn/matlabcentral/fileexchange/46169-directional-discrete-cosine-transform-and-principal-component-analysis-based-image-fusion

作者:VPS Naidu发表了多篇图像融合论文

主页:https://scholar.google.com/citations?user=pdAZ1wsAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

代码网址:https://ww2.mathworks.cn/matlabcentral/fileexchange/?term=authorid%3A104729(该网页内作者提供了多个经典图像融合算法的代码)

 

【2013】

1、文章:Simultaneous image fusion and super-resolution using sparse representation

Cite as:

Yin H , Li S , Fang L . Simultaneous image fusion and super-resolution using sparse representation[J]. Information Fusion, 2013, 14(3):229-240.

Paper:https://doi.org/10.1016/j.inffus.2012.01.008

作者:尹海涛,李树涛,方乐缘,湖南大学。

李树涛,湖南大学,教授,博导。

主页:https://scholar.google.com/citations?user=PlBq8n8AAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

2、文章:Image fusion with guided filtering(点击下载文章)    【GFF】

Cite as:

Shutao Li, Xudong Kang and Jianwen Hu, Image fusion with guided filtering, IEEE Transactions on Image Processing, vol. 22, no. 7, pp. 2864-2875, July, 2013

Code:http://xudongkang.weebly.com(作者主页内可找到,解压密码:LIvoJeaimnniTgain)

作者:

康旭东,湖南大学博士(导师:李树涛)

主页:http://xudongkang.weebly.com

李树涛,湖南大学,教授,博导。

主页:https://scholar.google.com/citations?user=PlBq8n8AAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

3、文章:Dictionary learning method for joint sparse representation-based image fusion(点击下载文章)     【JSR】

Paper:https://doi.org/10.1117/1.OE.52.5.057006

作者:Qiheng Zhang,Yuli Fu,Haifeng Li,Jian Zou,华南理工大学电子信息学院。

 

4、文章:A Neuro-Fuzzy Approach for Medical Image Fusion 【医学图像融合】

Paper:https://ieeexplore.ieee.org/abstract/document/6603271

DOI: 10.1109/TBME.2013.2282461)

Code:https://drive.google.com/file/d/0Bxq5-QWgPHedWXcxTzBGVkMtejQ/view

作者:

Sudeb Das

主页:https://sites.google.com/site/wodrsdas/publica(该作者做了许多医学图像方面的研究

https://scholar.google.com/citations?user=viK7TRUAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

Malay Kumar Kundu

主页:https://www.isical.ac.in/~malay/

https://scholar.google.com/citations?user=0589ICUAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

5、文章:Image fusion based on pixel significance using cross bilateral filter 【CBF】

Paper:http://dx.doi.org/10.1007/s11760-013-0556-9(DOI:10.1007/s11760-013-0556-9)

Code:https://sites.google.com/view/shreyamsha/research/image-fusion/image-fusion-using-CBF 或者:

https://ww2.mathworks.cn/matlabcentral/fileexchange/43781-image-fusion-based-on-pixel-significance-using-cross-bilateral-filter

作者:B. K. Shreyamsha Kumar

主页:https://sites.google.com/view/shreyamsha

https://ccc.glgoo.top/citations?user=jX5csycAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

6、文章:Multifocus and Multispectral Image Fusion based on Pixel Significance using Discrete Cosine Harmonic Wavelet Transform  【DCHWT】

Paper:(DOI:10.1007/s11760-012-0361-x)

Code:https://sites.google.com/view/shreyamsha/research/image-fusion/image-fusion-using-DCHWT 或者:

作者:B. K. Shreyamsha Kumar

主页:https://sites.google.com/view/shreyamsha

https://ccc.glgoo.top/citations?user=jX5csycAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

【2012】

1、文章:Group-sparse representation with dictionary learning for medical image denoising and fusion     【GSR】

Cite as:

Li, Shutao and Yin, Haitao and Fang, Leyuan. Biomedical Engineering, IEEE Transactions on: 2012 ,59(12) ,3450--3459

Paper:https://ieeexplore.ieee.org/document/6296694

作者:李树涛,尹海涛,方乐缘,湖南大学。

 

2、文章:Pixel-level image fusion with simultaneous orthogonal matching pursuit     【SOMP】

Paper:https://doi.org/10.1016/j.inffus.2010.04.001

作者:杨斌,李树涛,湖南大学。

 

3、文章:Image fusion using higher order singular value decomposition  【HOSVD】

Paper:https://ieeexplore.ieee.org/abstract/document/6126030

DOI: 10.1109/TIP.2012.2183140)

作者:Junli Liang,Yang He(贺洋),Ding Liu(刘丁),西安理工大学自动化与信息工程学院

贺洋,Max Planck Institute for Informatics博士。

主页:

https://scholar.google.com/citations?user=OaAO-aIAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/yang-he/

 

4、文章:NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency(点击下载文章)     【医学图像融合】

Paper:https://link.springer.com/article/10.1007/s11517-012-0943-3

Code:https://drive.google.com/file/d/0Bxq5-QWgPHedUXo0VzdGbWxZa3c/view

作者:

Sudeb Das

主页:https://sites.google.com/site/wodrsdas/publica(该作者做了许多医学图像方面的研究

https://scholar.google.com/citations?user=viK7TRUAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

Malay Kumar Kundu

主页:https://www.isical.ac.in/~malay/

https://scholar.google.com/citations?user=0589ICUAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

【2011】

1、文章:Multimodal image fusion with joint sparsity model     【JSR】

Paper:https://doi.org/10.1117/1.3584840

附:Joint sparsity model improves multimodal image fusion

作者:尹海涛,李树涛,湖南大学。

 

2、文章:Image Features Extraction and Fusion Based on Joint Sparse Representation    【JSR】

Paper:https://ieeexplore.ieee.org/document/5709967

作者:

余南南,江苏师范大学教师,大连理工大学博士(导师:邱天爽)

邱天爽,大连理工大学教授,博导。

教师个人主页:http://faculty.dlut.edu.cn/qiutsh/zh_CN/index.htm

 

3、文章:Image fusion technique using multi-resolution singular value decomposition(点击下载文章)     【MSVD】

Paper:https://nal-ir.nal.res.in/11320/

Code:https://ww2.mathworks.cn/matlabcentral/fileexchange/38802-image-fusion-technique-using-multi-resolution-singular-value-decomposition(代码包中包含了论文原文

作者:VPS Naidu发表了多篇图像融合论文

主页:https://scholar.google.com/citations?user=pdAZ1wsAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

代码网址:https://ww2.mathworks.cn/matlabcentral/fileexchange/?term=authorid%3A104729(该网页内作者提供了多个经典图像融合算法的代码)

 

4、文章:Generalized Random Walks for Fusion of Multi-Exposure Images 【多曝光图像融合】

Paper:https://ieeexplore.ieee.org/abstract/document/5762601

DOI: 10.1109/TIP.2011.2150235)

Code:https://sites.ualberta.ca/~rshen/papers/tip11/

作者:

Rui Shen

https://sites.ualberta.ca/~rshen/

https://scholar.google.com/citations?user=LOBosaUAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

https://sites.ualberta.ca/~rshen/projects/if/index.html(该网页是作者Rui Shen的图像融合项目网页)

Jianbo Shi

https://scholar.google.com/citations?user=Sm14jYIAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

Anup Basu

https://scholar.google.com/citations?user=x8Nn-jQAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

【2008】

1、文章:Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain

Paper:https://doi.org/10.1016/S1874-1029(08)60174-3(DOI:10.1016/S1874-1029(08)60174-3)

Code:http://csrc.xmu.edu.cn(网页内——‘software’栏目内,最下面找到本文题目,点击进去。貌似链接失效了。可以去该网页下,找到“Toolbox for High quality multi-focus image fusion using self-similarity and depth information”,下载代码包,里面包含了我们要找的本文的代码。)

作者:屈小波,厦门大学。

 

【2007】

1、文章:A novel image fusion algorithm based on bandelet transform

Paper:https://www.osapublishing.org/col/abstract.cfm?uri=col-5-10-569

作者:Xiaobo Qu(屈小波), Jingwen Yan(闫敬文), Guofu Xie(谢国富), Ziqian Zhu, and Bengang Chen

屈小波,厦门大学,副教授,博导

主页:

http://csrc.xmu.edu.cn/xiaobo/index_cn.html

https://esci.xmu.edu.cn/e6/48/c9602a190024/page.psp

https://scholar.google.com/citations?user=JXw9c2sAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

谢国富, University of Montreal(蒙特利尔大学)

主页:http://lcs.ios.ac.cn/~guofu/

https://scholar.google.com/citations?user=6LT9mQYAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

【2003】

1、文章:A general framework for multiresolution image fusion: from pixels to regions【综述文章】【关于传统的多分辨率的图像融合】

Paper:https://doi.org/10.1016/S1566-2535(03)00046-0

作者:Gemma Piella

主页:https://scholar.google.com/citations?user=Q6zjCpsAAAAJ&hl=zh-CN&oi=sra(Google学术主页)

 

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PS:早期的代码中用到的某些函数可能随着MATLAB版本的升级更新,会被删掉,导致运行错误。解决办法就是在自己电脑上保留着低版本的MATLAB。然后用到哪个函数,复制出来粘贴到代码文件夹里。

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