On the evaluation of edge preserving smoothing filter
نویسندگان
چکیده
For mapping or object identification, the edges possess important information. It would be desirable to preserve the edges in the original image, while applying smoothing filter to reduce the influence of noise. A number of filters are available for this purpose, including the Mean Filter, Median Filter, Kuwahara Filter, and Symmetric Nearest Neighbor Filter (SNNF). This study investigates the evaluation scheme for the performance of these filters. Traditional numerical indices, and the recently developed Smoothing/Sharpening measures are applied for comparison. From the experiments with simulated noises, it is found that the Smoothing/Sharpening measures do provide intrinsic information. However, what the meaning of the quality is still remains for discussion.
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