摘要
干涉测量中的散斑噪声极大地限制了光学相干层析(OCT)成像中特征信息的提取,因此,如何减小散斑噪声成为OCT成像领域的一个重要问题。利用最小化Csiszar Ⅰ-散度的测量方法推出一种散斑最小化算法,不仅可以生成与测量数据一致的图像数据,而且可以推出图像的附加信息,展示了采用散斑最小化算法对人手指正常皮肤的OCT图像散斑噪声最小化处理结果,结果表明,此算法不仅可以极大地减小散斑噪声、提高信噪比,而且能保持清晰的边缘效果。
Speckle noise significantly limits the information content extraction provided by optical coherence tomography （OCT）. Therefore speckle reduction is an important issue in OCT imaging. Using a method of regularization by minimizing Csiszar＇s I-divergence, we derive a method of speckle minimization. This method can not only produce an image data that is consistent with the known data but also extrapolate additional detail. This algorithm is used to process the OCT image of the human finger. The results show that this method of speckle minimization can significantly reduce speckle and increase the signal to noise ratio, while preserve edge sharpness.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2008年第9期1437-1440,共4页
Chinese Journal of Lasers
