Home > Archive>Volume 14, Issue 1, 2018 >76-80. DOI:https://doi.org/10.1007/s11801-018-7175-1
PDF HTML XML Export Cite reminder
An improved adaptive preprocessing method for TDI CCD images
CSTR:
[cstr]
Author:
Affiliation:

1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;2. University of Chinese Academy of Sciences, Beijing 100049, China

  • Article
    • | |
  • Metrics
    • |
  • Reference [13]
    • |
  • Related [20]
    • | | |
  • Comments
    Abstract:

    In order to achieve high quality images with time-delayed integration (TDI) charge-coupled device (CCD) imaging system, an improved adaptive preprocessing method is proposed with functions of both denoising and edge enhancement. It is a weighted average filter integrating the average filter and the improved range filter. The weighted factors are deduced in terms of a cost function, which are adjustable to different images. To validate the proposed method, extensive tests are carried out on a developed TDI CCD imaging system. The experimental results confirm that this preprocessing method can fulfill the noise removal and edge sharpening simultaneously, which can play an important role in remote sensing field.

    Reference
    [1] L. Zheng, G. Jin, W. Xu, H. Qu and Y. Wu, IEEE Sensors J. 17, 3656 (2017).
    [2]R. Yu, Y. Liu and J. Lu, Design of a TDI CCD Data Acquisition System, Proc. IEEE Int. Conf. Biomed. Eng. Informat., 735 (2012).
    [3]L.-P. Zhang, J.-Q. He, H. Dai and C.-M. Wan, Noise Processing Technology of a TDI CCD Sensor, Proc. IEEE Int. Conf. Comput., Mechatronics, Control Electron. Eng. (CMCE), 395 (2010).
    [4] H. Faraji and W. J. MacLean, CCD Noise Removal in Digital Images, IEEE Trans. Image Process. 15, 2676 (2006).
    [5] C. Tomasi and R. Manduchi, Bilateral Filtering for Gray and Color Images, Proc. Int. Conf. Comput. Vis., 839 (1998).
    [6] H. Shi and N. Kwok, An Integrated Bilateral and Unsharp Masking Filter for Image Contrast Enhancement, Proc. Int. Conf. Mach. Learn. Cybern., 907 (2013).
    [7] B. Zhang and J. P. Allebach, Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal, IEEE Trans. Image Process. 17, 664 (2008).
    [8] F. Argenti, G. Torricelli and L. Alparone, Signal-dependent Noise Removal in the Undecimated Wavelet Domain, Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 3293 (2002).
    [9] A. Foi, V. Katkovnik and K. Egiazarian, Signal-dependent Noise Removal in Pointwise Shape-adaptive DCT Domain with Locally Adaptive Variance, 15th Eur. Signal Process. Conf., 2159 (2007).
    [10] K. Dabov, A. Foi, V. Katkovnik and K. Egiazarian, Image Denoising by Sparse 3-D Transform-domain Collaborative Filtering,IEEE Trans. Image Process. 16, 2080 (2007).
    [11] A. Bosco, R. A. Bruna, D. Giacalone, S. Battiato and R. Rizzo, Signal Dependent Raw Image Denoising using Sensor Noise Characterization via Multiple Acquisitions, Proc. Soc. Photo-Opt. Instrum. Eng.(SPIE) Conf., 753705 (2010).
    [12] J. Meola, M. T. Eismann, R. L. Moses and J. N. Ash, Modeling and Estimation of Signal-dependent Noise in Hyperspectral Imagery, Appl. Opt. 50, 3829 (2011).
    [13] Y. Tsin, V. Ramesh and T. Kanade, Statistical Calibration of CCD Imaging Process, Proc. IEEE Int. Conf. Comput. Vision, 480 (2001).
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

ZHENG Liang-liang, JIN Guang, XU Wei, QU Hong-song. An improved adaptive preprocessing method for TDI CCD images[J]. Optoelectronics Letters,2018,14(1):76-80

Copy
Share
Article Metrics
Article has an altmetric score of 3
Article has an altmetric score of 3
  • Abstract:4067
  • PDF: 0
  • HTML: 0
  • Cited by: 0
History
  • Received:July 26,2017
  • Revised:October 16,2017
  • Online: January 08,2018
Article QR Code
Phone：86-22-60214471
URL：http://www.oelett.com E-mail：oel@263.net
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
® 2025 All Rights Reserved