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

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Electrical Power Systems and Computers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 99))

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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.

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References

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© 2011 Springer-Verlag Berlin Heidelberg

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Penghao, X., Junju, Z., Junfeng, H., Weile, N., Hui, X., Tingting, H. (2011). Time-Spatial Recursive Denoising for LLL Images Based on Motion Detection. In: Wan, X. (eds) Electrical Power Systems and Computers. Lecture Notes in Electrical Engineering, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21747-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-21747-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21746-3

  • Online ISBN: 978-3-642-21747-0

  • eBook Packages: EngineeringEngineering (R0)

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