基于三維軸距的圖像去噪算法
doi: 10.11999/JEIT140505 cstr: 32379.14.JEIT140505
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61363033, 61102089, 61362018)和湖南省教育廳優(yōu)秀青年項(xiàng)目(13B093)資助課題
Image Denosie Algrithom Based on Three-dimensional Axis Distance
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摘要: 圖像去噪是圖像處理鄰域的重要課題，該文在3維直方圖的基礎(chǔ)上定義圖像的3維軸距，分析無(wú)噪聲及椒鹽噪聲影響下圖像3維軸距的分布特點(diǎn)，提出基于3維軸距的去噪算法。算法首先對(duì)圖像進(jìn)行邊沿?cái)U(kuò)展，再利用3維軸距來(lái)檢測(cè)噪聲，最后用非噪聲中值濾波來(lái)消除噪聲。仿真比較了3維軸距去噪算法與中值濾波、自適應(yīng)開(kāi)關(guān)中值、快速自適應(yīng)均值濾波、修正方向加權(quán)中值濾波和自適應(yīng)模糊開(kāi)關(guān)中值濾波算法的去噪性能，結(jié)果證明該文算法的有效性。Abstract: Image denoising is an important issue in the field of image processing. This paper defines the three-dimensional axis distance on the basis of three-dimensional histogram, analyzes the distribution features of images three-dimensional axis distance under the influence of non-noise and salt-pepper noise situation, thus the denoising algorithm upon the three-dimensional axis distance is proposed. The proposed algorithm extends image edge at first and then detects noise by employing the three-dimensional axis distance. Finally, the noise is eliminated by excluding noise pixels median filter. The?results of comparisons among the proposed algorithm, median filter, adaptive switching median filter, efficient average filter, modified directional-weighted-median filter, and noise adaptive fuzzy switching median filter verify the effectiveness of the proposed algorithm.
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