Switching Bilateral Filter With a Texture/Noise Detector for Universal Noise Removal. Chih-Hsing Lin, Jia-Shiuan Tsai, and Ching-Te Chiu Transactions on: Image Processing, IEEE Journals 2010. Outline. Introduction Sorted Quadrant Median Vector for Noise Detection Noise models
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Chih-Hsing Lin, Jia-Shiuan Tsai, and Ching-Te Chiu
Transactions on: Image Processing, IEEE Journals 2010
The processing window size is too small.
 T. Chen and H. R. Wu, “Adaptive impulse detection using center-weighted median filters,” IEEE Signal Process. Lett., vol. 8, no. 1, pp. 1–3, Jun. 2001.
 P. E. Ng and K. K. Ma, “A switching median filter with boundary discriminative noise detection for extremely corrupted images,” IEEE Trans. Image Process., vol. 15, no. 6, pp. 1506–1516, Jun. 2006.
ρ lies in the interval [25–40]
Even if complextexture , the filtering
result would be less artificial.
“without edge” or “weak edge”
“edge or texture”