Vol. 34 (2) pp. 333-342
We present a new scheme to increase the performance of edge-preserving image smoothing algorithm from the
parameter tuning of a Markov random "eld (MRF) function. This method is based on an automatic control of the
image-smoothing strength in the MRF function in which the parameter control of the function depends on edge
magnitude resulted from discontinuities of image intensity. Without any binary decision for the edge magnitude, direct
use of full edge magnitude could improve the performance of discontinuity-preserving image smoothing technique.
We present a new scheme to increase the performance of edge-preserving image smoothing algorithm from the
parameter tuning of a Markov random "eld (MRF) function. This method is based on an automatic control of the
image-smoothing strength in the MRF function in which the parameter control of the function depends on edge
magnitude resulted from discontinuities of image intensity. Without any binary decision for the edge magnitude, direct
use of full edge magnitude could improve the performance of discontinuity-preserving image smoothing technique.