Image Fusion Based on Joint Nonsubsampled Contourlet and Overcomplete Brushlet Transforms
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References
- Qu Xiao-Bo, Yan Jing-Wen, Zhu Zi-Qian, Chen Ben-Gang. “Multipulse coupled neural networks”. In Proceedings of International Conference on Bio-Inspired Computing Theories and Applications. Zhengzhou, China: Publishing House of Electronics Industry. 2007,pp.563-565.
- M N Do, M Vetterli. “The contourlet transform:an efficient directional multiresolution image representation” [J].IEEE Transactions on Image Processing,Vol 14,No.10. 2005,pp.2091- 2106.
- Arthur L. da Cunha, Jianping Zhou.” The Nonsubsampled Contourlet Transform:Theory, Design, and Applications”. IEEE Transactions on Image Processing, Vol 15,No. 10, October,2006.
- F. G. Meyer and R. R. Coifman. “Brushlet: A tool for directional image analysis and image compression”. Applied and Computational Harmonic Analysis, Vol 4, 1997,pp.147–187.
- Mingxin Yang,”Optimal Cluster Head Number Based On Enter For Datd Aggregation In Wireless Sensor Networks”,International Journal on Smart Sensing and Intelligent Systems (S2IS), Dec 2015,pp.1935 – 1955
- Ahadul Imam, Justin Chi, Mohammad Mozumdar,”Data Compression And Visualization For Wireless Sensor Networks “International Journal on Smart Sensing and Intelligent Systems (S2IS), Dec 2015,pp.2083- 2115
- Payman Moallem1,”Compensation Of Capacitive Differential Pressure Sensor Using Multi Layer Perceptron Neural Network”,International Journal on Smart Sensing and Intelligent Systems (S2IS), SEPTEMBER 2015,pp.1443 – 1463
- Daode Zhang,Yangliu Xue,Xuhui Ye and Yanli Li.”Research On Chips’ Defect Extraction Based On Image-matching “,International Journal on Smart Sensing and Intelligent Systems (S2IS), Mar. 10. 2014,pp.321 – 336
- Feng LUO and Fengjian HU,”A Comprehensive Survey Of Vision Based Vehicle Intelligent Front Light System “International Journal on Smart Sensing and Intelligent Systems (S2IS), June 1. 2014,pp.701 – 723
- E.Angelini,A.Laine, et.al.”LVvolumequantification via spatio temporal analysis of real-time 3D echocardiography”. IEEE Transactions on Medical Imaging. Vol. 20, No.6, 2001,pp.457-469.
- Guohui Wu, Xingkun Li, Jiyang Dai.”Improved Measure Algorithm Based On CoSaMP For Image Recovery “International Journal on Smart Sensing and Intelligent Systems (S2IS), June 1. 2014,pp.724 – 739
- Wenqing Chen, 2 Tao Wang and 3 Bailing Wang.”Design Of Digital Image Encryption Algorithm Based On Mixed Chaotic Sequences”.International Journal on Smart Sensing and Intelligent Systems (S2IS), Dec. 1. 2014,pp.1453 – 1469
- S.Mary Praveena, Dr.ILA.Vennila.” Image Fusion By Global Energy Merging”. International Journal of Recent Trends in Engineering, Vol 2, No. 7, November 2009.
- Zhouping Y. “Fusion Algorithm Of Optical Images And Sar With Svt And Sparse Representation”. International Journal on Smart Sensing and Intelligent Systems, Vol. 8, No. 2, June 2015.
- Yongqing Wang, “New Intelligent Classification Method Based On Improved Meb Algorithm”, International Journal on Smart Sensing and Intelligent Systems, Vol. 7, No. 1, 2014, pp. 72-95.
- Yongqing Wang1 and Xiling Liu.”Face Recognition Based On Improved Support Vector Clustering “International Journal on Smart Sensing and Intelligent Systems (S2IS), Dec. 1. 2014,pp.1807 – 1829
- Donoho D L, “Compressed sensing”, IEEE Transactions on Information Theory, vol. 52, No. 4, 2006, pp. 1289-1306.
- Yang C, Wright J, Huang T, Ma Y “Image super-resolution via sparse representation”.IEEE Trans. Image Process, vol. 19, No. 11, 2010, pp. 2861-2873.
- James E. Fowler, Sungkwang Mun, and Eric W. Tramel,Multi-scale block compressed sensing with smoothed projected landweber reconstruction, 19th European Signal Processing Conference, Barcelona, Spain,2011.
- Easley G, Labate D, Lim W.”Sparse Directional image representations using the discrete Shearlet transform”.Applied and Computational Harmonic Analysis, Vol. 7, 2008,pp.25-46.
- Do T T, Tran T D, Lu G. “Fast compressive sampling with structurally random matrices”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Washington D C: IEEE Computer Society Press, 2008,pp.3369-3372.
- Chen SSB, Donoho D L, M A Saunders. “Atomic decomposition by basis pursuit”, SIAM Journal on Scientific Computation, vol. 20, No. 1, 2010, pp. 33-61.
- Tropp J A. “Greed is good: Algorithmic results for sparse approximation”. IEEE Transactions on Information Theory, vol. 50, No. 10, 2004, pp. 2231-2242.
- Blumensath T, Davies M E,Normalised, “iterative hard thresholding:guaranteed stability and performance”,IEEE Journal of Selected Topics in Signal Processing, vol. 4, No. 2, 2010, pp. 298–309.
- Bai Q, Jin C. “Image Fusion And Recognition Based On Compressed Sensing Theory”. International Journal on Smart Sensing & Intelligent Systems, Vol. 8, No. 1, 2015.
- Petrovic V, Xydeas C. “On the effects of sensor noise in pixel-level image fusion performance”. In: Proceedings of the3 rd International Conference on Image Fusion. Paris, France:IEEE, 2000,pp.14-19.
DOI: https://doi.org/10.21307/ijssis-2017-959 | Journal eISSN: 1178-5608
Language: English
Page range: 2186 - 2203
Submitted on: Jul 12, 2015
Accepted on: Jan 11, 2016
Published on: Dec 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2016 Zhang Pai, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.