Open AccessGeneralized linear reconstructing algorithm based on homomorphic signal processed in digital holographic microscopy
Author(s) -
Huaying Wang,
Mengjie Yu,
Feifei Liu,
Yanan Jiang,
Xiufa Song,
Gao Ya-fei
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.234207
Subject(s) - homomorphic filtering , computer science , holography , algorithm , digital holography , signal (programming language) , magnification , computer vision , image processing , artificial intelligence , digital signal processing , digital image processing , image (mathematics) , optics , image enhancement , physics , programming language , computer hardware
In order to improve the accuracy and the speed of reconstructing an image, the digital holographic generalized linear reconstructing algorithm based on homomorphic signal processing is proposed. By using the pre-magnification digital holographic imaging system and the principle of homomorphic signal processing, the proposed algorithm is analyzed theoretically. The achieving condition for and reconstructing process of the proposed algorithm is presented. Then the theoretical results are demonstrated by simulations and experimental data. Results show that the zero-order term of digital hologram frequency spectrum can be eliminated effectively by the proposed algorithm so as to realize the high-precision reconstruction of the digital hologram. Because a whole quadrant is chosen as the filtered area, the manual frequency filtering operation needed in common linear reconstructing algorithm is avoided and then the reconstructing speed is improved greatly. Meanwhile, the high-frequency component of the reconstructed original image can be reserved up to the hilt so that the high resolution image can be achieved.