A Denoising Method Based on Modified PCNN for Color Images
Yunqiang Zhang, Peilin Zhang, Wang Guo-de, Chao Xu · International Conference on Electric Information and Control Engineering · 2012
In order to effectively remove noise in color images, the simplified PCNN was modified firstly for its shortages in RGB color image noise detection. Then a denoising method based on modified PCNN for color images was proposed. The method classified noise as two kinds, namely, strong noise and weak noise. They were detected respectively by the modified PCNN. Strong noise was removed by vector median filter(VMF), while weak noise was removed by weighted vector average filter(WVAF). Experiment results prove that the modified PCNN has excellent performance in noise detection. The proposed denoising method can achieve good denoising results for both single type of noise and mixed noise.