中国光学Issue(1)：60-67,8.DOI:10.3788/CO.20150801.0060
基于数学形态学的数字全息再现像融合方法
Digital holographic reconstruction image fusion based on mathematical morphology
摘要
Abstract
In digital holography , multi-focus holographic images can be reconstructed by applying values for the reconstruction distance during the reconstruction process .And then the hologram can be fused to extend the depth-of-field by images fusion method .Since the speckle noise in the digital holography images , an effi-cient fusion algorithm based on mathematical morphology is proposed .First, the decomposed high-frequency and low-frequency sub-band coefficients are obtained by the Wavelet-Controulet transform .Then, it fused co-efficients with different rules .To suppress the speckle noise , the local energy combined with mathematical morphology is presented for high-frequency coefficients and the contrast method is used to fuse the low-fre-quency coefficients.Finally, the invers transform is employed to get the fused image .The effectiveness analy-sis of the algorithm and the experiment results show that for the digital holography images with speckle noise , the fusion method with mathematical morphology can reduce the speckle noise and keep more detail informa -tion.At last, the depth-field of the image can be extended up to 11.5 cm.As compared with the conventional method without mathematical morphology , for dices, the proposed method enhances its Tenengrad and Entropy by 11.8% and 2.7%.For coins, the proposed method enhances its Tenengrad and Entropy by 13.6% and 2.8%.关键词
数字全息/图像融合/景深扩展/数学形态学Key words
digital holography/image fusion/extend depth of field/mathematical morphology分类
信息技术与安全科学引用本文复制引用
潘锋,闫贝贝,肖文,刘烁,李艳..基于数学形态学的数字全息再现像融合方法[J].中国光学,2015,(1):60-67,8.基金项目
国家自然科学基金资助项目 （）
