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Improved MLV filter to remove multiplicative noise |
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| Authors: | Weibin Li PhD Fang Liu Licheng Jiao Shuling Zhang Zongling Li |
| Affiliation: | 1. Institute of Graphics and Image Processing,Xiangyang Normal University,Xianyang 712000,China;National Key Laboratory for Radar Signal Processing,Xidian University,Xi' an 710071,China;Insititute of Intelligent Information Processing,Xidian University,Xi' an 710071,China 2. National Key Laboratory for Radar Signal Processing,Xidian University,Xi' an 710071,China; Insititute of Intelligent Information Processing,Xidian University,Xi' an 710071,China 3. Institute of Graphics and Image Processing,Xiangyang Normal University,Xianyang 712000,China |
| Abstract: | More methods can be used to remove the additive noise, such as the Mean of Least Variance (MLV) filter. When the signal is noised by the multiplicative noise, it is difficult to remove. The paper presents an improved filter to remove multiplicative noise by changing the multiplicative noise to the additive noise, and then using the MLV-like to remove the additive noise. The simulation results show that the performance is better than Minimum Coefficient of Variation (MCV) filter and MLV filter. Both one-dimension and image experiments demonstrate its theoretical performance. |
| Keywords: | Denoising Minimum Coefficient of Variation (MCV) Mean of Least Variance (MLV) |
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