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We present a fast algorithm for two-dimensional median filtering. It is based on storing and updating the gray level histogram of the picture elements in the window. The algorithm is much faster than conventional sorting methods. For a window size of m × n, the computer time required is 0(n).
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Huang et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69d75d53f44a16d01ef30908 — DOI: https://doi.org/10.1109/tassp.1979.1163188
Thomas S. Huang
Gang Yang
Gongguo Tang
IEEE Transactions on Acoustics Speech and Signal Processing
Purdue University West Lafayette
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