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IMPULSIVE NOISE SUPPRESSION IN COLOR IMAGING USING FUZZY AND VECTOR DIRECTIONAL TECHNIQUES

机译:利用模糊和矢量定向技术抑制彩色图像中的脉冲噪声

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摘要

The fuzzy and directional techniques are connected in novel procedure to suppress an impulsive noise in color images. The main idea of the approach is consists of using together vector directional method and logic fuzzy theory to recognize outliers, borders and fine image details during processing. Numerous simulation results have shown superiority of proposed method, at least in low and middle noise intensity under objective criteria: PSNR, MAE and NCD, as well as in subjective visual quality.
机译:模糊和定向技术以新颖的过程相连接,以抑制彩色图像中的脉冲噪声。该方法的主要思想是结合使用矢量方向方法和逻辑模糊理论来识别处理过程中的异常值,边界和精细图像细节。大量的仿真结果证明了该方法的优越性,至少在客观标准:PSNR,MAE和NCD以及主观视觉质量方面,至少在中低噪声强度方面。

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