Qi Lei, Zhang Wenwen, Chen Qian, Gu Guohua. Research of EMCCD image filtering method based on adaptive fuzzy median filter[J]. Infrared and Laser Engineering, 2013, 42(11): 3150-3155.
| Citation:
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Qi Lei, Zhang Wenwen, Chen Qian, Gu Guohua. Research of EMCCD image filtering method based on adaptive fuzzy median filter[J]. Infrared and Laser Engineering, 2013, 42(11): 3150-3155.
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Research of EMCCD image filtering method based on adaptive fuzzy median filter
- 1.
School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
- Received Date: 2013-03-06
- Rev Recd Date:
2013-04-03
- Publish Date:
2013-11-25
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Abstract
The noise density of Electron Multiplying CCD(EMCCD) image varies with the gain, a noise detection based on adaptive fuzzy median filter(AFMF) algorithm was proposed. The algorithm consisted of fuzzy filtering module and adaptive module. First, the noise pixels in the center of the filter window was identified. Second, the double thresholds were introduced for these detected noise points, basing on the thresholds and median of the filtering window, the fuzzy membership function of noise points was put forward, and the fuzzy membership function was utilized to filter the noise points. Finally, the adaptive module was used to adjust the pixel in the image. Simulation and experimental results indicate that the new algorithm is able to remove noise pixels effectively and protect the details well in the image. Compared with the adaptive median filtering, the average PSNR improves at least 15 dB. The performance is better than the other median filters under the condition of low noise density and relatively stable under the condition of high noise density.
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References
|
[1]
|
|
|
[2]
|
Zhao Gaochang, Zhang Lei, Wu Fengbo. Application of improved median filtering algorithm to image de-noising[J].Journal of Applied Optics, 2011, 4(32): 678-682. |
|
[3]
|
Gou Zhongkui, Zhang Shaojun, Li Zhongfu, et al. New adaptive median filter algorithm based on extreme value[J]. Infrared and Laser Engineering, 2005, 34(1): 98-101. (in Chinese). |
|
[4]
|
|
|
[5]
|
Ng P E, Ma K K. A switching median filter with boundary discriminative noise detection for extremely corrupted images[J]. IEEE Trans Image Process, 2006, 15(6): 1506-1516. |
|
[6]
|
|
|
[7]
|
Chen T, Hong Ren Wu. Adaptive impulse detection using center-weighted median filters[J]. IEEE Signal Process, Letters, 2001, 8(1): 1-3. |
|
[8]
|
|
|
[9]
|
|
|
[10]
|
Farbiz F, Menhaj M B, Motamedi S A. A new fuzzy logic filter for image enhancement[J]. IEEE Transaction on Sys Man Cybern, 2000, 30(2): 110-119. |
|
[11]
|
Russo F, Ramponi G. A fuzzy filter for images corrupted by impulse noise[J]. IEEE Signal Process Letters, 1996, 3(6): 168-170. |
|
[12]
|
|
|
[13]
|
|
|
[14]
|
Kenny Kal Vin Toh, Nor Ashidi Mat Isa. Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction[J]. IEEE Signal Process Letters, 2010, 3(17): 281-284. |
|
[15]
|
|
|
[16]
|
Zou Pan, Liu Hui, Zhang Wenwen, et al. Parameter estimation of noise distribution model of EMCCD based on the expectation-maximization method[J]. Infrared and Laser Engineering, 2013, 42(1): 268-272. (in Chinese). |
|
[17]
|
Zhang Xuming, Xiong Youlun. Impulse noise removal using directional difference based noise detector and adaptive weighted mean filter[J]. IEEE Signal Process Letters, 2009, 16(4): 295-298. |
|
[18]
|
|
|
[19]
|
Gonzalez R C, Woods R E. Digital Image Processing[M]. Englewood Cliffs, NJ: Prentice Hall, 2002: 352-356. |
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