Research status of super resolution reconstruction based on compound-eye imaging technology

HU Jiangtao; HUANG Feng; ZHANG Chu; LIU Bingqi; WANG Yuanbo

doi:10.7510/jgjs.issn.1001-3806.2015.04.014

Volume 39 Issue 4

May 2015

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Research status of super resolution reconstruction based on compound-eye imaging technology

1.
Department of Electronic and Optical Engineering, Ordance Engineering College, Shijiazhuang 050003, China

Corresponding author: ZHANG Chu, zhangchu625@sina.com ;
Received Date: 2014-07-01
Accepted Date: 2014-11-10

Abstract

Super resolution reconstruction compound-eye imaging is the combination of super resolution reconstruction technology and compound-eye imaging technology. The low resolution images were acquired by the compound-eye imaging system and the high resolution images were acquired by means of the high resolution reconstruction algorithm. The research status of super resolution reconstruction compound-eye imaging was summarized. The basic principle and the main imaging system at present were set forth. The common reconstruction algorithm was analyzed with the combination of imaging model. The quantitative evaluation and the visual evaluation methods were analyzed. This paper provides a reference for further study of super resolution reconstruction based on compound-eye imaging.
- imaging system,
- compound-eye imaging,
- super resolution reconstruction,
- reconstruction algorithm,
- evaluation method

References

[1]	TANG Ch X, WU Zh Ch, LIANG Zh. Design and experiment of artificial compound eye receiving system[J] Optics and Precision Engineering, 2011, 19(5):992-997(in Chinese).
[2]	JIANG X P. A GRIN micro lens array with hexagonal aperture simulated compound eyes buried in a convex[D]. Suzhou: Soochow University, 2011:11-18(in Chinese).
[3]	LIU J. Imaging system of multiple aperture overlap ommateum[D]. Beijing: Beijing Institute of Technology, 2012:1-12 (in Chinese).
[4]	ZHANG X Y. The structural design and experimental investigations of multi-aperture overlap bionic compound eye[D]. Beijing: Beijing Institute of Technology, 2012:1-11(in Chinese).
[5]	HUANG Z X, XUN G L. Research on panorama picture formation in bionic compound eye measuring system[J]. Metrology Measurement Technology, 2006, 26(1): 17-18 (in Chinese).
[6]	LEE H, DALTON G B, TOSH I A J, et al. Computer-guided alignment III: description of inter-element alignment effect in circular-pupil optical system[J].Optics Express, 2008,16(15):10992-11006.
[7]	TOYGAR A, YUCEL A, RUSSELL M M. Super-resolution reconstruction of hyperspectral images[J].IEEE Transactions on Image Processing,2005, 14(11):1860- 1875.
[8]	GONG Zh W, YU W X, ZHANG H X, et al. Process in design and fabrication of the artificial compound eye optics system[J].Chinese Optics, 2013,6(1):34-45 (in Chinese).
[9]	PATTI A J, SEZAN M I, TEKALP A M. Super resolution video reconstruction with arbitrary sampling lattices and nonzero aperture time[J]. IEEE Transactions on Image Processing, 1997,6(8): 1064-1076.
[10]	VIKRANT R B, MANJUNATH S, SCOTT C D, et al. Experimentally validated computational imaging with a adaptive multi aperture folded architecture[J]. Applied Optics, 2010, B49(10): 51-58.
[11]	ESMAEIL F, VIKRANT R B, DINESH R, et al. Super resolution results in PANOPTES, and adaptive multi-aperture folded architecture[C]//IEEE 17th International Conference on Image Processing. New York,USA:IEEE,2010:2833-2836.
[12]	GUILLEM C, JAMES D, ANDREW R H. Super-resolution imaging using a camera array [J]. Optics Letters, 2014, 39(7): 1-5.
[13]	CHAN W S, MICHAEL K N, EDMUND Y L, et al. Super-resolution reconstruction in a computational compound-eye imaging system[J]. Multidimensional Systems Signal Processing, 2007, 18(2/3): 83-101.
[14]	YU H, CHEN H W. Research progress of image super-resolution technology[J]. Optics Optoelectronic Technology, 2012, 10(5): 45-50 (in Chinese).
[15]	WANG N. Reconstruction of super-resolution depth image based on compressive and development of camera array[D]. Guangzhou: South China University of Technology, 2010:8-15 (in Chinese).
[16]	XU P Y. Research on the super resolution reconstruction[D]. Shanghai: Shanghai Jiaotong University, 2009:1-10(in Chinese).
[17]	ZHANG Y. Research on the superresolution image reconstruction technique in space domain[D]. Beijing: China University of Information Engineering, 2007:11-23(in Chinese).
[18]	HOU T X. Study of super-resolution image reconstruction algorithm[D]. Taiyuan: Shanxi University, 2011:11-26(in Chinese).
[19]	DONG L. Study of super-resolution image reconstruction algorithm[D]. Taiyuan: Shanxi University, 2011:10-20(in Chinese).
[20]	SHI W, TIAN Y, LIU J. A fast super-resolution reconstruction from image-sequence[J]. Wuhan University Journal of Natural Sciences,2006,11(2):399-404.
[21]	CHEN Y. Research on super resolution image reconstruction algorithm based on nonuniform/uncontrolled micro-scanning[D]. Beijing: Beijing Institute of Technology, 2011: 22-36(in Chinese).
[22]	OU P, LIU X, SUN M J, et al. A large step method of optical micro scanning [J]. Laser Technology,2013, 37(3):293-296(in Chinese).
[23]	LEONID A, EVGENII N, JACOB K. Super-resolution imaging via spatiotemporal frequency shifting and coherent detection[J]. Optics Express, 2011,19(22):22350-22357.
[24]	BOWEN A, BINGBIN X, SHENGDA P, et al. Sub-pixel processing for super-resolution scanning imaging system with fiber bundle coupling[J]. Chinese Optics Letters, 2011, 9(8): 081001.
[25]	AGGELOS K K, RAFAEL M, JAVIER M. Super resolution of images and video[R].Houston, Texas, USA: Morgan Claypool, 2007:87-89.
[26]	LIU Ch Y, NI L. Improved block-matching and initial estimation for POCS image reconstruction[J]. Journal of Data Acquisition Processing, 2013,28(1):47-52 (in Chinese).
[27]	XIAO J X. A POCS Algorithm for super-resolution image reconstruction[D]. Shanghai: Shanghai Jiaotong University, 2009:11-23(in Chinese).
[28]	ZHANG D, PENG H. Noise analysis and reduction in the super-resolved image[J]. Journal of Shaoguan University (Natural Science Edition), 2006, 27(12): 31-34(in Chinese).
[29]	CHEN B Y, GUO Q, CHEN G L, et al. Amplificatory noise raised by super resolution reconstruction and filter[J].Infrared Millimeter Waves, 2011,30(1):15-20 (in Chinese).

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Research status of super resolution reconstruction based on compound-eye imaging technology

Corresponding author: ZHANG Chu, zhangchu625@sina.com;

1. Department of Electronic and Optical Engineering, Ordance Engineering College, Shijiazhuang 050003, China

Received Date: 2014-07-01

Accepted Date: 2014-11-10

Available Online: 2015-07-25

Abstract: Super resolution reconstruction compound-eye imaging is the combination of super resolution reconstruction technology and compound-eye imaging technology. The low resolution images were acquired by the compound-eye imaging system and the high resolution images were acquired by means of the high resolution reconstruction algorithm. The research status of super resolution reconstruction compound-eye imaging was summarized. The basic principle and the main imaging system at present were set forth. The common reconstruction algorithm was analyzed with the combination of imaging model. The quantitative evaluation and the visual evaluation methods were analyzed. This paper provides a reference for further study of super resolution reconstruction based on compound-eye imaging.

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Reference (29)

[1]	TANG Ch X, WU Zh Ch, LIANG Zh. Design and experiment of artificial compound eye receiving system[J] Optics and Precision Engineering, 2011, 19(5):992-997(in Chinese).
[2]	JIANG X P. A GRIN micro lens array with hexagonal aperture simulated compound eyes buried in a convex[D]. Suzhou: Soochow University, 2011:11-18(in Chinese).
[3]	LIU J. Imaging system of multiple aperture overlap ommateum[D]. Beijing: Beijing Institute of Technology, 2012:1-12 (in Chinese).
[4]	ZHANG X Y. The structural design and experimental investigations of multi-aperture overlap bionic compound eye[D]. Beijing: Beijing Institute of Technology, 2012:1-11(in Chinese).
[5]	HUANG Z X, XUN G L. Research on panorama picture formation in bionic compound eye measuring system[J]. Metrology Measurement Technology, 2006, 26(1): 17-18 (in Chinese).
[6]	LEE H, DALTON G B, TOSH I A J, et al. Computer-guided alignment III: description of inter-element alignment effect in circular-pupil optical system[J].Optics Express, 2008,16(15):10992-11006.
[7]	TOYGAR A, YUCEL A, RUSSELL M M. Super-resolution reconstruction of hyperspectral images[J].IEEE Transactions on Image Processing,2005, 14(11):1860- 1875.
[8]	GONG Zh W, YU W X, ZHANG H X, et al. Process in design and fabrication of the artificial compound eye optics system[J].Chinese Optics, 2013,6(1):34-45 (in Chinese).
[9]	PATTI A J, SEZAN M I, TEKALP A M. Super resolution video reconstruction with arbitrary sampling lattices and nonzero aperture time[J]. IEEE Transactions on Image Processing, 1997,6(8): 1064-1076.
[10]	VIKRANT R B, MANJUNATH S, SCOTT C D, et al. Experimentally validated computational imaging with a adaptive multi aperture folded architecture[J]. Applied Optics, 2010, B49(10): 51-58.
[11]	ESMAEIL F, VIKRANT R B, DINESH R, et al. Super resolution results in PANOPTES, and adaptive multi-aperture folded architecture[C]//IEEE 17th International Conference on Image Processing. New York,USA:IEEE,2010:2833-2836.
[12]	GUILLEM C, JAMES D, ANDREW R H. Super-resolution imaging using a camera array [J]. Optics Letters, 2014, 39(7): 1-5.
[13]	CHAN W S, MICHAEL K N, EDMUND Y L, et al. Super-resolution reconstruction in a computational compound-eye imaging system[J]. Multidimensional Systems Signal Processing, 2007, 18(2/3): 83-101.
[14]	YU H, CHEN H W. Research progress of image super-resolution technology[J]. Optics Optoelectronic Technology, 2012, 10(5): 45-50 (in Chinese).
[15]	WANG N. Reconstruction of super-resolution depth image based on compressive and development of camera array[D]. Guangzhou: South China University of Technology, 2010:8-15 (in Chinese).
[16]	XU P Y. Research on the super resolution reconstruction[D]. Shanghai: Shanghai Jiaotong University, 2009:1-10(in Chinese).
[17]	ZHANG Y. Research on the superresolution image reconstruction technique in space domain[D]. Beijing: China University of Information Engineering, 2007:11-23(in Chinese).
[18]	HOU T X. Study of super-resolution image reconstruction algorithm[D]. Taiyuan: Shanxi University, 2011:11-26(in Chinese).
[19]	DONG L. Study of super-resolution image reconstruction algorithm[D]. Taiyuan: Shanxi University, 2011:10-20(in Chinese).
[20]	SHI W, TIAN Y, LIU J. A fast super-resolution reconstruction from image-sequence[J]. Wuhan University Journal of Natural Sciences,2006,11(2):399-404.
[21]	CHEN Y. Research on super resolution image reconstruction algorithm based on nonuniform/uncontrolled micro-scanning[D]. Beijing: Beijing Institute of Technology, 2011: 22-36(in Chinese).
[22]	OU P, LIU X, SUN M J, et al. A large step method of optical micro scanning [J]. Laser Technology,2013, 37(3):293-296(in Chinese).
[23]	LEONID A, EVGENII N, JACOB K. Super-resolution imaging via spatiotemporal frequency shifting and coherent detection[J]. Optics Express, 2011,19(22):22350-22357.
[24]	BOWEN A, BINGBIN X, SHENGDA P, et al. Sub-pixel processing for super-resolution scanning imaging system with fiber bundle coupling[J]. Chinese Optics Letters, 2011, 9(8): 081001.
[25]	AGGELOS K K, RAFAEL M, JAVIER M. Super resolution of images and video[R].Houston, Texas, USA: Morgan Claypool, 2007:87-89.
[26]	LIU Ch Y, NI L. Improved block-matching and initial estimation for POCS image reconstruction[J]. Journal of Data Acquisition Processing, 2013,28(1):47-52 (in Chinese).
[27]	XIAO J X. A POCS Algorithm for super-resolution image reconstruction[D]. Shanghai: Shanghai Jiaotong University, 2009:11-23(in Chinese).
[28]	ZHANG D, PENG H. Noise analysis and reduction in the super-resolved image[J]. Journal of Shaoguan University (Natural Science Edition), 2006, 27(12): 31-34(in Chinese).
[29]	CHEN B Y, GUO Q, CHEN G L, et al. Amplificatory noise raised by super resolution reconstruction and filter[J].Infrared Millimeter Waves, 2011,30(1):15-20 (in Chinese).

Research status of super resolution reconstruction based on compound-eye imaging technology

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Proportional views