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基于DMD的哈达玛变换成像光谱仪中交错编码像素点的研究
作者姓名:Xu J  Hu BL  Feng DZ  Zhang W  Yan P
作者单位:中国科学院西安光学精密机械研究所光谱成像技术重点实验室;中国科学院研究生院;西安电子科技大学雷达信号处理国家重点实验室
基金项目:国家自然科学基金项目(40805013)资助
摘    要:近年来在哈达玛变换成像光谱仪研究领域中最重要的技术革新在于数字微镜器件在这种光谱仪中的应用,但同时也带来了一些相应的技术问题需要克服。详细的描述和分析了由于数字微镜器件在哈达玛变换光谱仪中的应用导致的编码图像上的部分像素点出现的一种交错编码现象;这种特殊的像素点,编码过程不符合哈达玛变换,在光谱复原过程中需要特殊处理。针对这种交错编码像素点,提出了一种标识方法和解码方法。实验中,向光谱仪中导入一束激光并充满整个视场,在编码的激光图像中确定交错编码像素点的位置。然后变换编码模板上哈达玛编码码道的空间位置,采集两组针对目标的编码图像,通过观察编码图像上一个像素点的灰度值组成的列向量中非零常量与零元素的个数,可以分辨它是否是一个交错编码像素点。其中一组编码图像上交错编码像素点光谱曲线可以通过对另一组编码图像上相应位置的像素点进行哈达玛反变换得到。实线结果证明了这一方法的可行性。

关 键 词:哈达玛变换  数字微镜器件  光谱仪  交错编码  标识方法  解码方法

Research on the interlaced encoding pixels in Hadamard transform spectral imager based on DMD
Xu J,Hu BL,Feng DZ,Zhang W,Yan P.Research on the interlaced encoding pixels in Hadamard transform spectral imager based on DMD[J].Spectroscopy and Spectral Analysis,2012,32(1):278-282.
Authors:Xu Jun  Hu Bing-liang  Feng Da-zheng  Zhang Wen  Yan Peng
Institution:Key Laboratory of Spectral Imaging Technique, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China. xjsdcq@163.com
Abstract:The key innovation in Hadamard transform spectral imager (HTSI) introduced recently is the use of digital micro-mirror device (DMD) to encode spectral information. However, it brings some new problems for us to solve synchronously. An interlaced encoding phenomenon caused by the application of DMD to our HTSI was investigated and analyzed. These interlaced encoding pixels were not encoded based on Hadamard transform; therefore they should be processed specially in spectrum recovery. To improve the quality of the recovered spectral images, a positioning method and a decoding method for the interlaced encoding pixels were proposed. In our experiment, we first directed a beam of laser into our HTSI to fill the field of view and labeled the positions of the interlaced encoding pixels. Then we recorded two groups of the encoded images of the target by changing the positions of all the encoding channels on the DMD. The interlaced encoding pixels could be distinguished easily by observing the number of non-zero constants and zero elements in a column vector which is made up of the gray values of a pixel of the encoded images in sequence. The interlaced encoding pixels of the first group of the encoded images turned into the normal Hadamard encoding pixels of the second group of the encoded images. The interlaced encoding pixels of the first group of the encoded images can be decoded through applying inverse Hadamard transform to the corresponding pixels of the second group of the encoded images. The experimental results prove the feasibility of the decoding method.
Keywords:Hadamard transform  DMD  Spectral image r  Interlaced encoding  Positioning method  Decoding method
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