A New Fast Computation Method in Mean Filter

Abstract:

Mean of neighbor pixels is usually computed in image process, its computation cost is very high, which lead to the executing speed. A fast computation strategy is applied to get the mean of neighbor pixels. In our approach, the means of neighbor pixels located in fist column and line are computed, after that the iterative solution methods is adopted to compute neighbor means of pixels located in neighbor pixels of current pixel. The proposed approach do not change the filter result, but which can accelerate the running speed, especially for large image, finally, we used several image to test the approach, the experiment results indicate that the approach do not change the filtering premise and effectively reduce the computational complexity.

• Periodical: Advanced Materials Research (Volumes 718-720)
• Pages: 2340-2343
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.718-720.2340
• Online since: July 2013
• Authors: Hansong Yang, Zeng Sheng Wang, De Feng Gao
• Keywords: Image Process, Iterative Solution, Mean Filter, Model Mean

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