|
|
- 2017
一种消除高密度椒盐噪声的迭代中值滤波算法
|
Abstract:
针对现有滤波方法处理高密度椒盐噪声的不足，提出一种简单有效的迭代中值滤波算法。该方法首先依据像素的强度值判断噪声点的位置，然后在循环迭代的处理框架内，对噪声像元进行逐步恢复。若噪声影像中包含足够的健康信息，则利用局部灰度差异控制项，完成对滤波结果的进一步优化。基于标准测试影像的实验表明，该方法能更为精确地恢复出被椒盐噪声污染的影像细节信息，其处理结果在目视及定量评价上均优于4种对比的滤波方法；且该方法的处理优势在影像椒盐噪声比例高达95%的情况下也依旧显著
| [1] | Bovik A. Handbook of Image and Processing[M]. New York:Academic Press, 2000 |
| [2] | Rosenfeld A, Woods R E. Digital Picture Processing[M]. New York:Academic Press, 1982 |
| [3] | Brownrigg D. The Weighted Median Filter[J]. Communications of the ACM,1984, 27(8):807-818 |
| [4] | Abreu E, Lightstone M, Mitra S K, et al. A New Efficient Approach for the Removal of Impulse Noise from Highly Corrupted Images[J]. IEEE Transactions on Image Processing, 1996, 5(6):1012-1025 |
| [5] | Chan R H, Ho C W, Nikolova M. Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail Preserving Regularization[J]. IEEE Transactions on Signal Processing, 2005, 14(10):1479-1485 |
| [6] | Wang Z, Zhang D. Progressive Switching Median Filter for the Removal Impulse Noise from Highly Corrupted Images[J]. IEEE Transactions on Circuits and Systems Ⅱ Analog & Digital Signal Processing, 1999, 46(1):78-80 |
| [7] | Nodes T, Gallagher N C. The Output Distribution of Median Type Filters[J]. IEEE Transactions on Communications,1984, 32(5):532-541 |
| [8] | Ko S J, Lee Y H. Center Weighted Median Filters and Their Applications to Image Enhancement[J]. IEEE Transactions on Circuits & Systems,1991, 38(9):984-993 |
| [9] | Bhadouria V S, Ghoshal D, Siddiqi A H. A New Approach for High Density Saturated Impulse Noise Removal Using Decision-Based Coupled Window Median Filter[J]. Signal Image and Video Processing, 2014, 8(1):71-84 |
| [10] | Li Shutao, Wang Yaonan. Non-Linear Adaptive Removal of Salt and Pepper Noise from Images[J]. Journal of Image and Graphics, 2000, 5(12):999-1001(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, 2000, 5(12):999-1001) |
| [11] | Sun T, Neuvo Y. Detail-Preserving Median Based Filters in Image Processing[J]. Pattern Recognition Letters, 1994, 15(4):341-347 |
| [12] | Xing Cangju, Wang Shoujue, Deng Haojiang, et al. A New Filtering Algorithm Based on Extremum and Median Value[J]. Journal of Image and Graphics, 2001, 6(6):533-536(邢藏菊,王守觉,邓浩江,等. 一种基于极值中值的新型滤波算法[J]. 中国图象图形学报, 2001, 6(6):533-536) |
| [13] | Zhang S, Karim M A. A New Impulse Noise Detector for Switching Median Filters[J]. IEEE Signal Processing Letters, 2002, 9(11):360-363 |
| [14] | Srinivasan K S, Ebenezer D. A New Fast and Efficient Decision-Based on Algorithm for Removal of High-Density Impulse Noise[J]. IEEE Signal Processing Letters, 2007, 14(3):189-192 |
| [15] | Ibrahim H, Kong N S P, Ng T F. Simple Adaptive Median Filter for the Removal of Impulse Noise from Highly Corrupted Images[J]. IEEE Transactions on Consumer Electronics, 2008, 54(4):1920-1927 |
| [16] | Ahmed F, Das S. Removal of High-Density Salt-and-Pepper Noise in Images with an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean[J]. IEEE Transactions on Fuzzy Systems, 2014, 22(5):1352-1358 |
