DETAIL PRESERVING FUZZY FILTER FOR IMPULSE NOISE REMOVAL

作者：Hussain Ayyaz^*; Jaffar M Arfan; Mirza Anwar M; Chaudhry Asmatullah

来源：International Journal of Innovative Computing Information and Control, 2009, 5(10B): 3583-3591.

• Image restoration
• Fuzzy logic
• Structure similarity index
• Fuzzy control
• Fuzzy decision
• Impulse noise

In this paper, we propose fuzzy based image filtering technique to remove the impulse noise while preserving the image details for low as well as highly corrupted images. The proposed filter is based on noise detection, fuzzy parameter identification, fuzzy mean estimation, intensity estimation, fuzzy decision making and embedded intelligent fuzzy control. The main advantage of the proposed technique over the other filtering techniques is its marvelous noise removal as well as detail preserving capability. Experimental results demonstrate that the proposed technique achieves much better performance than the state-of-the-art filters. The comparison, of the results is based on both the global error measures i.e. Alean-Square-Error (MSE) and Peak-Signal-to-Noise-Ratio (PSNR) and a local error measure i.e. Structural Similarity Index. Measure (SSIM).

• 出版日期2009-10