Digital in-line particle holography: twin-image suppression using sparse blind source separation

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• 作者：Jamel Hattay ; Samir Belaid ; Denis Lebrun ; Wady Naanaa
• 关键词：Twin ; image removal ; Digital in ; line hologram ; Particle holography ; Blind source separation ; Quincunx Lifting Scheme ; Geometric unmixing algorithm
• 刊名：Signal, Image and Video Processing
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：9
• 期：8
• 页码：1767-1774
• 全文大小：992 KB
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• 作者单位：Jamel Hattay (1)
  Samir Belaid (2)
  Denis Lebrun (3)
  Wady Naanaa (2)
  
  1. Ecole Nationale d鈥檌ng茅nieurs de Tunis ENIT, Tunis, Tunisia
  2. Faculty of Sciences, University of Monastir, Monastir, Tunisia
  3. Coria, University of Rouen, Rouen, France
  
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing
  Image Processing and Computer Vision
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Multimedia Information Systems
  
• 出版者：Springer London
• ISSN：1863-1711

文摘

We propose a robust autofocus method for reconstructing digital holograms and twin-image removal based on blind source separation approach. The method is made up of two components: an efficient quincunx lifting scheme based on wavelet packet transform, whose role is to maximize a sharpness metric related to the sparseness of the input holograms, and a geometric unmixing algorithm, which achieves the separation task. Experimental results confirm the ability of sparse blind source separation to discard the unwanted twin-image from in-line digital holograms of particles. Keywords Twin-image removal Digital in-line hologram Particle holography Blind source separation Quincunx Lifting Scheme Geometric unmixing algorithm