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椒盐噪声下图像直方图的行为 被引量:3

Behavior of Image Histogram Under Pepper-and-Salt Noise
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摘要 重获噪声图像的原始直方图有助于确定像素的原始灰度值。本文讨论了脉冲噪声下图像直方图的行为,给出了由噪声图像直方图直接或近似估计原始图像直方图的公式,表明了公式的收敛性,并作了仿真验证。结果成功地应用于高椒盐噪声图像的恢复问题。 It is helpful to retrieve the original histogram of an image for its recovery from pulse noise. In this paper,the behavior of image histogram under pulse noise is described, a direct or approximate estimation of the original image histogram from its noisy versions is formulated, the convergence issue is presented and then verified with a simulation, resulting to a successful restoration of images with a high rate of pepper-and-salt noise.
作者 蔡利栋
出处 《计算机工程与科学》 CSCD 2008年第11期25-27,45,共4页 Computer Engineering & Science
基金 国家自然科学基金资助项目(60275028)
关键词 椒盐噪声 原始直方图估计 收敛性 高噪声率 pepper-and-salt noise original histogram estimation^convergence high rate of noise
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参考文献9

  • 1Gonzalez R C,Woods R E.数字图像处理[M].第二版.阮秋琦,阮宇智,等译.北京:电子工业出版社,2003.
  • 2Brownrigg D R K. The Weighted Median Filter [J]. Communication of the ACM, 1984,27 (8) : 807-818.
  • 3Ko S J, Lee Y H. Center Weighted Median Filters and Their Applications to Image Enhancement [J]. IEEE Trans on CS, 1991,38(9) : 984-993.
  • 4Nieminen A, Heinonnen P, Neuvo Y. A New Class of Detail- Preserving Filters for Image Processing [J]. IEEE Trans on PAMI, 1987,9(1): 74-90.
  • 5Sun T, Neuvo Y. Detail-Preserving Median Based Filters in Image Processing [J]. Pattern Recognition Letters,1994,15 (4):341-347.
  • 6Pham T Q,van Vliet L J,Schutte K. Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized Convolution [J]. EURASIP Journal on Applied Signal Processing, 2006:1- 12.
  • 7李树涛,王耀南.图象椒盐噪声的非线性自适应滤除[J].中国图象图形学报(A辑),2000,5(12):999-1001. 被引量:52
  • 8曲延锋,徐健,李卫军,王守觉.有效去除图像中脉冲噪声的新型滤波算法[J].计算机辅助设计与图形学学报,2003,15(4):397-401. 被引量:40
  • 9唐彩虹,蔡利栋.椒盐噪声下图像原始直方图的估计[J].暨南大学学报(自然科学与医学版),2006,27(3):374-376. 被引量:3

二级参考文献16

  • 1章毓晋.图像工程(上册).图像处理和分析[M].北京:清华大学出版社,1999..
  • 2Brownrigg D R K. The weighted median filter [ J ] .Communication of the Association for Computing Machinery,1984, 27(8) :807--818.
  • 3T Sun, Y Neuvo. Detail-preserving median based filters in image processing [J ]. Pattern Recognition Letters, 1994, 15(4) : 341--347.
  • 4Wang Junghua, Lin Lianda. Improved median filter using minmax algorithm for image processing[J]. Electronics Letters,1997, 33(16) : 1362-- 1363.
  • 5D Zhang, Z Wang. Impulse noise detection and removal using fuzzy techniques[J]. Electronics Letters, 1997, 33(5): 373--379.
  • 6Z Wang, D Zhang. Restoration of impulse noise corrupted images using long-range correlation[J ]. [EEE Signal Processin gLetters, 1998, 5(1) :4--6.
  • 7Wang Zhou, David Zhang. Progressive switching median filter for the removal of impulse noise from highly corrupted images[J]. IEEE Transactions on Circuits and Systems, Ⅱ: Analog and Digital Signal Processing, 1999, 46( 1 ) : 78-- 80.
  • 8Lin H M, Willson A N. Median filters with adaptive length,IEEE GAS1, 1988,35(6):675-690.
  • 9Florencio D A F, Schafer R W. Decision-based median filter using local signal statistics. In: Proc SPIE Symp Visual Comm Image Processing, Chicago,1994,2308:268-275.
  • 10Hardie R E, Barner K E. Rank conditioned rank selection filter for signal restoration. IEEE IP, 1994,3(2):192-206.

共引文献89

同被引文献26

  • 1王保平,范九伦,谢维信,刘升虎.基于直方图的自适应图像去噪滤波器[J].电子学报,2004,32(7):1176-1179. 被引量:8
  • 2卢京晶,方中华,孙胜利.一种自适应的加权均值滤波器[J].传感技术学报,2005,18(4):880-882. 被引量:14
  • 3唐彩虹,蔡利栋.一种基于直方图的加权均值滤波方法[J].微计算机信息,2006,22(05S):202-204. 被引量:16
  • 4ALAJLAN N, KAMEL M, JERNIGAN E. Detail preserving impulsive noise removal [ J]. Signal Processing: Image Communication, 2004, 19 (10) : 933 -1003.
  • 5ZHANG S, KARIM M. A new impulse detector for switching median filters [ J]. IEEE Signal Processing Letters, 2002, 9 ( 11 ) : 360 - 363.
  • 6BESDOK E, YUKSEL M E. Impulsive noise suppression from images with Jarque-Bera test based median filter [ J]. AEU-International Journal of Electronics and Communications, 2005, 59 (2): 105 - 110.
  • 7王红梅,李言俊,张科.基于极值检测的图像滤波算法[J].激光与红外,2007,37(10):1117-1119. 被引量:26
  • 8Rafael C Gonzalez,Richard E Woods.Digital Image Processing,2002.
  • 9Ko S J,Lee Y H.Center weighted median filters and their application to image enhancementIEEE Transactions on Circuits Systems,1991.
  • 10Sun T,Neuvo Y.Detail-preserving median based filters in image processingPattern Recognition,1994.

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