Image fusion using evolutionary algorithms: A survey

This paper is mainly intended to compare image fusion method using different evolutionary algorithms and a comparison between these methods. The survey focuses on region-based fusion techniques, which is a major area of research. The paper compares image fusion processes using various evolutionary algorithms and illustrates the advantages and disadvantages of these algorithms. This survey illustrates that a method of image fusion can also be included in the DE optimization stage with the block size optimization. Finally, it is concluded that spatial frequency can be used as the sharpness criterion and Evolutionary algorithms perform better in block size optimization.

[1]  Sweta K. Shah Comparative Study of Image Fusion Techniques based on Spatial and Transform Domain , 2014 .

[2]  Sertan Erkanli,et al.  Fusion of Visual and Thermal Images Using Genetic Algorithms , 2012 .

[3]  Junping Du,et al.  Region-based multi-focus image fusion using the local spatial frequency , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[4]  Veysel Aslantas,et al.  Differential evolution algorithm based spatial multi-sensor image fusion , 2014, 2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

[5]  V Jyothi,et al.  Image Fusion using Evolutionary Algorithm (GA) , 2011 .

[6]  G. Geetha,et al.  MULTIFOCUS IMAGE FUSION USING MULTIRESOLUTION APPROACH WITH BILATERAL GRADIENT BASED SHARPNESS CRITERION , 2012 .

[7]  Tania Stathaki,et al.  Image Fusion: An Overview , 2014, 2014 5th International Conference on Intelligent Systems, Modelling and Simulation.

[8]  Li-ying Yang Pixel-Level Image Fusion Using Particle Swarm Optimization with Local Search , 2011, 2011 3rd International Workshop on Intelligent Systems and Applications.

[9]  Gang Chen,et al.  An application of swarm intelligence binary particle swarm optimization (BPSO) algorithm to multi-focus image fusion , 2010 .

[10]  Jun Kong,et al.  Multi-focus Image Fusion Using Spatial Frequency and Genetic Algorithm , 2008 .

[11]  Richa Gupta,et al.  Wave-packet image fusion technique based on genetic algorithm , 2014, 2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence).

[12]  Tania Stathaki,et al.  Image Fusion: Algorithms and Applications , 2008 .

[13]  Yifei Wang Contourlet-Based Multispectral Image Fusion Using Free Search Differential Evolution , 2015 .

[14]  K. P. Soman,et al.  Implementation and Comparative Study of Image Fusion Algorithms , 2010 .

[15]  Abdollah Homaifar,et al.  Optimization of Image Fusion using Genetic Algorithms and Discrete Wavelet Transform , 2010, Proceedings of the IEEE 2010 National Aerospace & Electronics Conference.

[16]  D. U. Shah,et al.  Comparative Study of Image FusionTechniques based on Spatial and TransformDomain , 2014 .

[17]  Ping Zhang,et al.  Multifocus Image Fusion Using Biogeography-Based Optimization , 2015 .

[18]  M. Tech Student,et al.  Study of Different Image fusion Algorithm , 2013 .

[19]  Gemma Piella,et al.  A general framework for multiresolution image fusion: from pixels to regions , 2003, Inf. Fusion.

[20]  M Prema Kumar,et al.  Image Fusion of mammogaphy images using Meta Heuristic Method Particle Swarm Optimization ( PSO ) , 2016 .

[21]  杨波,et al.  Review of Pixel-Level Image Fusion , 2010 .

[22]  Dehuai Zeng,et al.  Applied Informatics and Communication - International Conference, ICAIC 2011, Xi'an, China, August 20-21, 2011, Proceedings, Part I , 2011, ICAIC.

[23]  T. Jemima Jebaseeli,et al.  A Survey on Multi-Focus ImageFusion Methods , 2012 .

[24]  Veysel Aslantas,et al.  Fusion of multi-focus images using differential evolution algorithm , 2010, Expert Syst. Appl..

[25]  S. S. Bedi,et al.  Comprehensive and Comparative Study of Image Fusion Techniques , 2013 .

[26]  A. Mumtaz,et al.  Genetic Algorithms and its application to image fusion , 2008, 2008 4th International Conference on Emerging Technologies.

[27]  Veysel Aslantas,et al.  Multi focus image fusion by differential evolution algorithm , 2014, 2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

[28]  Chuan Zhu Liao,et al.  Multifocus Image Fusion Based on Multiresolution Transform and Particle Swarm Optimization , 2013 .

[29]  Yinghua Lu,et al.  Multi-focus image fusion using quality assessment of spatial domain and genetic algorithm , 2008, 2008 Conference on Human System Interactions.

[30]  Ayyaz Hussain,et al.  BLOCK-BASED PIXEL LEVEL MULTI-FOCUS IMAGE FUSION USING PARTICLE SWARM OPTIMIZATION , 2011 .

[31]  Ahmed Fouad,et al.  Image fusion approach with noise reduction using Genetic Algorithm , 2013 .

[32]  Jyoti S. Kulkarni,et al.  A Survey of Image Fusion using Genetic Algorithm , 2015 .

[33]  Shutao Li,et al.  Multifocus image fusion using region segmentation and spatial frequency , 2008, Image Vis. Comput..

[34]  Feng Yong,et al.  Multi-focus Image Fusion using an Improved Differential Evolution Algorithm and Adaptive Block Mechanism , 2014 .