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The Infrared Image Enhancement Approach Based on Directionlet Transform

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Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 202))

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Abstract

The chapter proposed a new multi-scale infrared image enhancement method based on directionlet transform, using directionlet transform to decompose the image’s frequency domain, and the establishment of a multi-directional anisotropic filtration has enhanced the infrared image. The experiment has showed that the method has achieved better result in the aspects of visual effect and objective evaluation than the general transform domain enhancement method.

Funded by Tianjin Normal University Doctoral Fund(52X09008)

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References

  1. Raghuveer MR (1997) Image enhancement and denoising by wavelet transform for concealed weapon detection. Proc SPIE Int Soc Opt Eng 2942:112–122

    Google Scholar 

  2. Sadjadi Firooz A (2004) Infrared target detection with probability density functions of wavelet transform subbands. Appl Opt 43(2):315–323

    Article  Google Scholar 

  3. Liu Qi-hai, Lin Yu-chi, Feng Wei-chang (2010) Novel different-source image fusion algorithm using lifting Directionlet transform. Infrared Laser Eng 39(2):358–362

    Google Scholar 

  4. Velisavljevic V, Beferull-Lozano B, Vetterli M et al (2006) Directionlets: anisotropic multidirectional representation with separable filtering. Image ProcessIEEE Trans 15(7):1916–1933

    Article  Google Scholar 

  5. Velisavljevic V (2009) Low-complexity Iris coding and recognition based on directionlets. Inform Forensics Secur IEEE Trans 4(3):410–417

    Article  Google Scholar 

  6. Velisavljevic V, Beferull-Lozano B, Vetterli M (2007) Space-frequency quantization for image compression with directionlets. Image Process IEEE Trans 16(7):1761–1773

    Article  MathSciNet  Google Scholar 

  7. Velisavljevic V, Beferull-Lozano B, Vetterli M (2007) Efficient image compression using directionlets. In: Information, Communications & Signal Processing, 2007 6th International Conference on Digital Object Identifier, pp 1–5

    Google Scholar 

  8. BAI Jing, HOU Biao, WANG Shuang (2008) SAR image denoising based on lifting direction domain Gaussian scale mixtures model. Chinese J Comput 31(7):1234–1240

    Google Scholar 

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Correspondence to Xin Zhou .

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© 2012 Springer Science+Business Media New York

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Zhou, X., Wang, W. (2012). The Infrared Image Enhancement Approach Based on Directionlet Transform. In: Liang, Q., et al. Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 202. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5803-6_15

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  • DOI: https://doi.org/10.1007/978-1-4614-5803-6_15

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5802-9

  • Online ISBN: 978-1-4614-5803-6

  • eBook Packages: EngineeringEngineering (R0)

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