小波域声呐图像自适应增强
Keywords: 声呐图像 形态小波 自适应增强 多分辨率分析
Abstract:
声呐图像受噪声污染严重、对比度低,给后期的定位识别带来不便,而传统的处理方法容易造成边缘模糊.针对这一问题,提出了一种图像自适应增强算法.该算法利用形态小波对声呐图像进行自适应的多分辨率分析,分别增强不同尺度上的信号或细节,通过多通道重构图像的加权实现去噪和对比度提高.仿真结果表明该算法快速有效,对高斯噪声和冲击性噪声都具有较好的鲁棒性,处理后的声呐图像边缘细节信息保留完好,得到了理想的增强效果.
| [1] | 1. STARCK J L.MURTAGH F.CANDES E J Gray and color image contrast enhancement by the curvelet transform 2003
|
| [2] | 2. HAMPSON F J.PESQUET J C M-band nonlinear subband decompositions with perfect reconstruction 1998
|
| [3] | 3. CLAYPOOLE R L.BARANIUK R G.NOWAK R D Adaptive wavelet transform via lifting 1998
|
| [4] | 4. HEIJMANS H J A M.GOUTSIAS J Constructing morphological wavelets with the lifting scheme 1999
|
| [5] | 5. HEIJMANS H J A M.GOUTSIAS J Nonlinear multiresolution signal decomposition schemes -PartⅡ:Morphological wavelets 2000
|
| [6] | 6. 戴青云.余英林 一种基于形态小波的在线掌纹的线特征提取方法 [期刊论文] -计算机学报2003(2)
|
| [7] | 7. LAZZARONI F.LEONARDI R High-performance embedded morphological wavelet coding 2003
|
| [8] | 8. ZHANG J F.SMITH J S.WU Q H Morphological undecimated wavelet decomposition for fault location on power transmission lines 2006
|
| [9] | 9. HADHOUD M M X-ray images enhancement using human visual system model properties and adaptive filters 2001
|
| [10] | 10. GONZALEZ R C.RICHARD E W 数字图像处理 2003
|
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