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Ship Detection Based on Compressive Sensing Measurements of Optical Remote Sensing Scenes 期刊论文
Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 8632-8649
作者:  S. M. Xiao;  Y. Zhang and X. L. Chang
收藏  |  浏览/下载：2/0  |  提交时间：2023/06/14
Application of structured light coding measurement technology in Mars high-resolution camera 期刊论文
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 卷号: 29, 期号: 6, 页码: 1420-1429
作者:  Z.-R. Cao and J.-H. Dong
收藏  |  浏览/下载：2/0  |  提交时间：2022/06/13
CGH encoding with variable step size search 期刊论文
Chinese Optics, 2021, 卷号: 14, 期号: 2, 页码: 368-374
作者:  H.-W. Qiu;  C.-S. Jin;  J. Yu;  Y. Liu;  H.-T. Zhang
收藏  |  浏览/下载：3/0  |  提交时间：2022/06/13
An improved phase-coding method for absolute phase retrieval based on the path-following algorithm 期刊论文
Optics and Lasers in Engineering, 2019, 卷号: 122, 页码: 65-73
作者:  S.Z.Lv;  Q.Sun;  J.B.Yang;  Y.Jiang;  F.Qu
收藏  |  浏览/下载：2/0  |  提交时间：2020/08/24
Phase Only Pupil Filter Design Using Zernike Polynomials 期刊论文
Journal of the Optical Society of Korea, 2016, 卷号: 20, 期号: 1
作者:  Liu, J.;  E. L. Miao;  Y. X. Sui and H. J. Yang
收藏  |  浏览/下载：13/0  |  提交时间：2017/09/11
Optimization of Wavefront Coding Phase Mask Applied to 5X-40X Micro-Objectives Simultaneously 期刊论文
Journal of the Optical Society of Korea, 2015, 卷号: 19, 期号: 5, 页码: 487-493
作者:  Liu, J.;  E. L. Miao;  Y. X. Sui and J. H. Yang
收藏  |  浏览/下载：10/0  |  提交时间：2016/07/15
The alignment and imaging experiment of a telescope with wavefront coding technology 期刊论文
中文 Optics Letters, 2014, 卷号: 12, 期号: SUPPL.1
Yan F.
收藏  |  浏览/下载：12/0  |  提交时间：2015/04/24
Design and image restoration research of a cubic-phase-plate system (EI CONFERENCE) 会议论文
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, April 26, 2010 - April 29, 2010, Dalian, China
Zhang X.; Zhang X.; Shi G.; Zhang J.; He F.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
Wave-front coding technology is a novel jointly optical and digital imaging technology which can greatly extend the depth of focus of optical systems. The image restoration process is an important part of wave-front coding technology. Using wave-front coding makes the modulation transfer function(MTF) values of the optical systems change little over a range of several times the depth of focus  which means the system MTF is quite insensitive to defocus  and there is no zero in the passband. So we can design a single filter for the restoration of images in different defocus positions. However  it's hard to avoid noise during image acquisition and transmission processes. These noises will be amplified in the image restoration  especially in the high frequency part when the MTF drop is relatively low. The restoration process significantly reduces the system signal to noise ratio this way. Aimed at the problem of noise amplification  a new algorithm was proposed which incorporated wavelet denoising into the iterative steps of Lucy-Richardson algorithm. Better restoration results were obtained through the new algorithm  effectively solving the noise amplification problem of original LR algorithm. Two sets of identical triplet imaging systems were designed  in one of which the cubic-phase-plate was added. Imaging experiments of the manufactured systems were carried  and the images of a traditional system and a wave-front coded system before and after decoding were compared. The results show that the designed wave-front coded system can extend the depth of focus by 40 times compared with the traditional system while maintaining the light flux and the image plane resolution. 2010 Copyright SPIE - The International Society for Optical Engineering.  
Software radio research of spread spectrum communication system (EI CONFERENCE) 会议论文
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
Tan Z.-J.; Shi Y.; Zhong Z.-J.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文
2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China
Feng Y.; Li S.; Dai M.
收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25
In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching  a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block  sums the gray value of each R-block pixel  encodes the R-block according to the gray value distribution of R-block with the adjacent R-block  and matches by step between the template and each search sub-image. Then  fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude  and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise  and it also has the stability of small-angle rotation. 2009 IEEE.  

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