De-noising research on terahertz digital holography based on wavelet transform

Cui Shanshan; Li Qi

Terahertz digital holography is one of the research hotspots in the terahertz imaging field over the world nowadays. The real reconstructed image was used as the research object, which was achieved by the continuous terahertz inline digital holographic imaging system, and the de-noising research was studied based on wavelet transform. Wavelet threshold technique and the homomorphic filtering based on wavelet were applied to denoise the image, with hard threshold and soft threshold technique respectively, by bior2.2 and sym4 wavelet base. Then the denoising result was quantitatively assessed. The experimental results show that the homomorphic filtering based on wavelet has the best de-nosing performance for the reconstructed image of terahertz continuous inline digital hologram, which works with soft threshold method and the bior2.2 wavelet basis.

1. National Key Laboratory of Science and Technology on Tunable Laser,Harbin Institute of Technology,Harbin 150080,China

Received Date: 2014-10-20

Rev Recd Date: 2014-11-22

Publish Date: 2015-06-25

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Abstract: Terahertz digital holography is one of the research hotspots in the terahertz imaging field over the world nowadays. The real reconstructed image was used as the research object, which was achieved by the continuous terahertz inline digital holographic imaging system, and the de-noising research was studied based on wavelet transform. Wavelet threshold technique and the homomorphic filtering based on wavelet were applied to denoise the image, with hard threshold and soft threshold technique respectively, by bior2.2 and sym4 wavelet base. Then the denoising result was quantitatively assessed. The experimental results show that the homomorphic filtering based on wavelet has the best de-nosing performance for the reconstructed image of terahertz continuous inline digital hologram, which works with soft threshold method and the bior2.2 wavelet basis.

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De-noising research on terahertz digital holography based on wavelet transform

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