Paper
29 April 2016 A novel fast median filter algorithm without sorting
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Abstract
As one of widely applied nonlinear smoothing filtering methods, median filter is quite effective for removing salt-andpepper noise and impulsive noise while maintaining image edge information without blurring its boundaries, but its computation load is the maximal drawback while applied in real-time processing systems. In order to solve the issue, researchers have proposed many effective fast algorithms and published many papers. However most of the algorithms are based on sorting operations so as to make real-time implementation difficult. In this paper considering the large scale Boolean calculation function and convenient shift operation which are two of the advantages of FPGA(Field Programmable Gate Array), we proposed a novel median value finding algorithm without sorting, which can find the median value effectively and its performing time almost keeps changeless despite how large the filter radius is. Based on the algorithm, a real-time median filter has been realized. A lot of tests demonstrate the validity and correctness of proposed algorithm.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weiping Yang, Zhilong Zhang, Xinping Lu, Jicheng Li, Dong Chen, and Guopeng Yang "A novel fast median filter algorithm without sorting", Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970A (29 April 2016); https://doi.org/10.1117/12.2219847
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CITATIONS
Cited by 3 patents.
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KEYWORDS
Digital filtering

Image filtering

Filtering (signal processing)

Nonlinear filtering

Image processing

Field programmable gate arrays

Evolutionary algorithms

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