首页> 外文会议>Applications of digital image processing XXXV. >Statistics of Fresnelet coefficients in PSI holograms
【24h】

Statistics of Fresnelet coefficients in PSI holograms

机译:PSI全息图中的Fresnelet系数的统计

获取原文
获取原文并翻译 | 示例

摘要

Advances in computer technology are moving real-time capable, digital holography into the realm of near futurefeasibility. The small pixel size required in the recording of even small objects and the large detector area(high numerical aperture in a lenseless recording setup) required for high resolution reconstruction results inlarge amounts of data, especially considering real-time video applications. The special requirements posed bydigital holographic microscopy using lasers operating in the UV range are another application generating largequantities of data that suggest the use of compression for transmission and storage.Holograms differ significantly from natural images, as both the intensity and the phase of the incomingwavefront are recorded. The information about the recorded object is non-localized in the detector plane and inmany applications the phase is far more important than the intensity as it provides information about differentoptical path length (e.g. distance and thus shape in metrology, presence of transparent structures in microscopy).This paper examines the statistical properties of PSI holograms. The holograms are transformed using Fres-nelets, a wavelet analysis of the reconstructed wavefront in the object plane. Since the wavefront is complexvalued, the complex amplitude has been separated into real-valued phase and amplitude before wavelet trans-formation. The results show that while the phase can be statistically modeled using a Generalized GaussianDistribution (GGD) with exponent α ≈ 1.5, the statistics of the amplitude seem to be the result of two separablecomponents, each corresponding to GGD. These are identified as the speckle field caused by sub-wavelengthsurface roughness with α ≈ 2 and the actual object with α ≈ 1. These result suggest the separate application ofclassical image compression based on GGD statistics in the subbands to the phase, the speckle amplitude andthe object amplitude.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:计算机技术的进步正在将具有实时功能的数字全息技术转移到不久的将来的可行性领域。甚至很小的物体的记录所需的小像素尺寸以及高分辨率重建所需的较大的检测器区域(无镜头记录设置中的高数值孔径)会导致产生大量数据,尤其是考虑到实时视频应用。数字全息显微镜使用在紫外线范围内工作的激光所产生的特殊要求是另一个产生大量数据的应用程序,建议使用压缩技术来传输和存储全息图。全息图与自然图像明显不同,因为入射波前的强度和相位都是记录下来。有关记录对象的信息未定位在探测器平面中,在许多应用中,相位比强度要重要得多,因为它提供了有关不同光学路径长度的信息(例如,距离以及因此在计量学中的形状,在显微镜中存在透明结构)本文研究了PSI全息图的统计特性。使用Fres-nelets变换全息图,Fres-nelets是对物平面中重构波前的小波分析。由于波前是复值的,因此在小波变换之前,复振幅已被分为实值相位和振幅。结果表明,虽然可以使用指数α≈1.5的广义高斯分布(GGD)对相位进行统计建模,但振幅的统计似乎是两个可分离分量的结果,每个分量都对应于GGD。这些被识别为由亚波长表面粗糙度α≈2和实际物体α≈1引起的散斑场。这些结果表明,基于GGD统计量的经典图像压缩在子带中分别应用于相位,散斑振幅和物体振幅。©(2012)版权所有,美国光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号