Smoothing is an important topic in image processing area. However

smoothing and edge preserving are hard to achieve simultaneously. In this paper

we propose an improved adaptive detail preserving smoothing algorithm using multiscale and multidirectional mask to deal with this issue. Before smoothing

complexity of texture is calculated according to the edge map. We ourselves define a measurement of complexity of texture which is simple and fast for operation. For the area with large value of texture complexity

that is the area with details

"stick" is used for smoothing to preserve these minute features

while for the area with small value

block mask is employed to speed and emphasize smoothing. As to using "stick"

eight different directions are considered to make the most suitable mask take effect. To achieve that

we take the standard deviation as the criterion

small standard deviation denoting homogeneous area and suiting for being taken as the smoothing mask. This method

to some extent

is effective for both smoothing and edge preserving

mainly because it selects different mask according to the local feature of the image utilizing texture analysis. Compared with other methods

including traditional Median Filter

MWMF

Nagao's Filter

DMF and PDE

this algorithm is easy and faster to implement in computer and has better performance.