冗余輪廓波變換的構(gòu)造及其在SAR圖像降斑中的應(yīng)用
The Construction of Redundant Contourlet Transform and Its Application to SAR Image Despeckling
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摘要: 構(gòu)造了由非抽樣塔式分解和方向濾波器組實現(xiàn)的冗余輪廓波變換。文中利用McClellan變換設(shè)計非抽樣塔式分解中滿足精確重構(gòu)條件的圓對稱濾波器組。利用冗余輪廓波變換系數(shù)的自適應(yīng)局部統(tǒng)計模型及最大后驗概率法對SAR圖像進(jìn)行降斑處理，并與基于平穩(wěn)小波和輪廓波變換的降斑算法進(jìn)行比較。結(jié)果表明，提出的算法能有效地去除散斑噪聲，并且具有更強(qiáng)的邊緣保持能力。
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關(guān)鍵詞:
- SAR圖像;輪廓波變換;McClellan變換;散斑噪聲
Abstract: The redundant contourlet transform implemented by undecimated pyramidal decomposition and directional filter bank is proposed. The circular symmetric filter bank satisfying perfect reconstruction conditions in the undecimated pyramidal decomposition is designed by McClellan transform. The adaptive local statistical model in the redundant contourlet domain and MAP estimator are employed to reduce speckle noise in SAR images. Compared with the despeckling methods based on stationary wavelet and contourlet transform, the proposed algorithm can reduce speckle noise more effectively while preserving the edges of the SAR images. -
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