Chinese Journal of Lasers, Volume. 47, Issue 10, 1004004(2020)
Adaptive Total Variation Speckle Denoising Method Based on Sine-Cosine Decomposition
Fig. 1. Effect of different denoising methods. (a) Simulated phase image; (b) noisy phase image; (c) TV; (d) ATV; (e) our method
Fig. 2. ATV denoising process of the sine-cosine decomposition algorithm. (a) Original phase image; (b) phase image obtained by sine transformation; (c) phase image obtained by cosine transformation; (d) phase image of sine transformation obtained by ATV denoising; (e) phase image of cosine transformation obtained by ATV denoising; (f) phase image of arctangent synthesis
Fig. 3. Denoising effect of different p(x,y). (a) p(x,y)=1.10; (b) p(x,y)=1.30; (c) p(x,y)=1.45; (d) p(x,y)=1.50; (e) p(x,y)=1.55; (f)
Fig. 4. Phase distribution of the horizontal center axis. (a) Simulated phase image; (b) original phase image; (c) phase image after denoising by ATV method; (d) phase image after denoising by our method
Fig. 5. Unwrapping image obtained by different methods. (a) Original phase image; (b) TV; (c) ATV; (d) our method
Fig. 6. Deformation field distribution of the measured object obtained by different denoising methods. (a)--(d) Deformation field distribution corresponding to
Fig. 7. Deformation field distribution of the measured object with different parameter p(x,y). (a)--(f) Deformation field distribution corresponding to
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Liu Ji, Huang Xiaohui, Wu Jinhui, Su Ninggang, Yu Lixia. Adaptive Total Variation Speckle Denoising Method Based on Sine-Cosine Decomposition[J]. Chinese Journal of Lasers, 2020, 47(10): 1004004
Category: Measurement and metrology
Received: Apr. 30, 2020
Accepted: --
Published Online: Oct. 16, 2020
The Author Email: Xiaohui Huang (1095067965@qq.com)