An Improved Fourier-Mellin Transform-Based Registration Used in TDI-CMOS

被引:1
|
作者
Feng, Qinping [1 ,2 ,3 ]
Tao, Shuping [1 ,3 ]
Liu, Chunyu [1 ,3 ]
Qu, Hongsong [1 ,3 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China
[2] Univ Chinese Acad Sci, Coll Mat Sci & Optoelect Technol, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Key Lab Space Based Dynam & Rapid Opt Imaging Tec, Changchun 130033, Peoples R China
来源
IEEE ACCESS | 2021年 / 9卷
基金
中国国家自然科学基金;
关键词
Correlation; Fourier transforms; Standards; Signal to noise ratio; Licenses; Silicon; Optical noise; Cross-power spectrum; image registration; TDI-CMOS; correlation function; Fourier-Mellin transform; IMAGE REGISTRATION; SENSOR; POLAR;
D O I
10.1109/ACCESS.2021.3075235
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Time-delayed integration (TDI) is a common imaging mode used in airborne cameras to compensate for image motion. The paper presents an improved Fourier-Mellin transform (FMT)-based registration method, which can be used to realize the registration-based TDI. It first analyzes the noise influences on the FMT spectrum by comparing the curve changes in the standard-deviation versus column plots under the various intensity of noise, then designs a special filter called WCSDF according to the amount of variation of each column in the FMT spectrum, which can reduce the noise affection on registration process to the larger extent. And an improved FMT-based registration method is finally proposed to form a framework of registration-based TDI. In computer simulations, the proposed method shows a significant improvement in robustness to noise (noise level up to 40). Compared with the existing method, its low computational complexity makes the method easy to be implemented in hardware and can estimate the larger relative shifts among dim noisy images, moreover, the TDI images generated by the proposed framework have higher quality in the index of information entropy, average gradient, and spatial frequency response.
引用
收藏
页码:64165 / 64178
页数:14
相关论文
共 50 条
  • [31] Invariant content-based image retrieval using the Fourier-Mellin transform
    Milanese, R
    Cherbuliez, M
    Pun, T
    INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION, 1999, : 73 - 82
  • [32] A real-time image stabilization system based on Fourier-Mellin transform
    Martinez-de-Dios, JR
    Ollero, A
    IMAGE ANALYSIS AND RECOGNITION, PT 1, PROCEEDINGS, 2004, 3211 : 376 - 383
  • [33] Radar Scan Matching SLAM Using the Fourier-Mellin Transform
    Checchin, Paul
    Gerossier, Franck
    Blanc, Christophe
    Chapuis, Roland
    Trassoudaine, Laurent
    FIELD AND SERVICE ROBOTICS, 2010, 62 : 151 - 161
  • [34] Complete invariant description under usual Fourier-Mellin transform
    Yu, HC
    Bennamoun, M
    ISSPA 2005: The 8th International Symposium on Signal Processing and its Applications, Vols 1 and 2, Proceedings, 2005, : 815 - 818
  • [35] Fourier-Mellin registration of line-delineated tabular document images
    Hutchison, Luke A. D.
    Barrett, William A.
    INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2006, 8 (2-3) : 87 - 110
  • [37] Research on Fourier-Mellin transform for image matching aided navigation system
    Wu Hualing
    Yan Li
    SECOND INTERNATIONAL CONFERENCE ON SPACE INFORMATION TECHNOLOGY, PTS 1-3, 2007, 6795
  • [38] Rethinking the Fourier-Mellin Transform: Multiple Depths in the Camera's View
    Xu, Qingwen
    Kuang, Haofei
    Kneip, Laurent
    Schwertfeger, Soren
    REMOTE SENSING, 2021, 13 (05) : 1 - 27
  • [39] Fusion of Zernike moments and Fourier-Mellin transform for invariant image resolution
    Saad, Elsayed M.
    Hadhoud, Mohiy M.
    Dessouky, Moawad I.
    Elhalawany, Mohamed E.
    Abbas, Alaa M.
    OPTICAL ENGINEERING, 2008, 47 (01)
  • [40] Digital Image Pattern Recognition System Using Normalized Fourier Transform and Normalized Analytical Fourier-Mellin Transform
    Velez-Rabago, Rodrigo
    Solorza-Calderon, Selene
    Jordan-Aramburo, Adina
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2016 (ICCMSE-2016), 2016, 1790