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Time-Spatial Recursive Denoising for LLL Images Based on Motion Detection

  • Xia Penghao
  • Zhang Junju
  • He Junfeng
  • Nie Weile
  • Xu Hui
  • He Tingting
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 99)

Abstract

In LLL images, there is a lot of random flicker noise. When denoising in LLL image, the traditional time-domain recursive noise reduction will bring smear in moving images. An improved algorithm is needed. To improve the time-domain recursive filter, the block that contain moving target in images should not participate the recursive algorithm. Time-spatial recursive denoising for LLL images based on motion detection is proposed to improve the time-domain recursive noise reduction. The blocks that contain moving object and background are processed respectively. Finally, simulation results show the effectiveness of the proposed method.

Keywords

LLL image processing filter time-spatial recursive denoising 

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References

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    Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image Quality Assessment: From Error Visibility to Structural Similarity. IEEE Transactions on Image Processing 13(4), 600–612 (2004)CrossRefGoogle Scholar
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    Zlokolica, V., Pizurica, A., Philips, W.: Recursive temporal denoising and motion estimation of video. In: International Conference on Image Processing(ICIP), pp. 1465–1468 (2004)Google Scholar
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    Bhagavathy, S., Llach, J.: IEEE International Conference on Adaptive Spatio Temporal Video Noise Filtering fo High Quality Applcation, vol. 1, pp. I-761-I-764 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Xia Penghao
    • 1
  • Zhang Junju
    • 1
  • He Junfeng
    • 2
  • Nie Weile
    • 2
  • Xu Hui
    • 1
  • He Tingting
    • 1
  1. 1.School of Electronic Engineering and Optic-electronic TechnologyNanjing University of Science and TechnologyNanjingChina
  2. 2.Xi’an Institute of Applied OpticsXi’anChina

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