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基于小波变换的太赫兹数字全息再现像去噪研究
引用本文:崔珊珊,李琦. 基于小波变换的太赫兹数字全息再现像去噪研究[J]. 红外与激光工程, 2015, 44(6): 1836-1840
作者姓名:崔珊珊  李琦
作者单位:1.哈尔滨工业大学 可调谐激光技术国家级重点实验室,黑龙江 哈尔滨 150080
基金项目:国家自然科学基金(61377110);高等学校博士学科站点专项科研基金
摘    要:太赫兹数字全息是当今太赫兹成像领域的研究热点之一。以真实连续太赫兹同轴数字全息再现像作为研究对象,进行了基于小波变换的去噪研究。选用bior2.2和sym4两种小波基,分别采用硬阈值和软阈值方式,对全息再现图像进行小波阈值去噪和基于小波的同态滤波处理,然后定量分析去噪结果。实验结果证明,对连续太赫兹同轴数字全息系统记录的再现像,采用bior2.2小波基的基于小波软阈值去噪的同态滤波,对太赫兹同轴数字全息再现图的去噪效果最好。

关 键 词:太赫兹   数字全息   小波变换
收稿时间:2014-10-20

De-noising research on terahertz digital holography based on wavelet transform
Cui Shanshan,Li Qi. De-noising research on terahertz digital holography based on wavelet transform[J]. Infrared and Laser Engineering, 2015, 44(6): 1836-1840
Authors:Cui Shanshan  Li Qi
Affiliation:1.National Key Laboratory of Science and Technology on Tunable Laser,Harbin Institute of Technology,Harbin 150080,China
Abstract:Terahertz digital holography is one of the research hotspots in the terahertz imaging field over the world nowadays. The real reconstructed image was used as the research object, which was achieved by the continuous terahertz inline digital holographic imaging system, and the de-noising research was studied based on wavelet transform. Wavelet threshold technique and the homomorphic filtering based on wavelet were applied to denoise the image, with hard threshold and soft threshold technique respectively, by bior2.2 and sym4 wavelet base. Then the denoising result was quantitatively assessed. The experimental results show that the homomorphic filtering based on wavelet has the best de-nosing performance for the reconstructed image of terahertz continuous inline digital hologram, which works with soft threshold method and the bior2.2 wavelet basis.
Keywords:terahertz  digital holography  wavelet transform
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