Open AccessThe production mechanism of image periodicity in digital holography and its application in zero-order noise suppression
Author(s) -
Lu Ming-Feng,
Jian Wu,
Zheng Ming
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.62.094207
Subject(s) - demosaicing , holography , computer science , computer vision , artificial intelligence , iterative reconstruction , color filter array , noise (video) , sampling (signal processing) , digital holography , color image , optics , filter (signal processing) , image (mathematics) , image processing , physics , color gel , quantum mechanics , electrode , thin film transistor
An interesting fact in digital holography is that the reconstruction process of the hologram recorded by the color camera may result in some periodic distribution of images in the image plane. In this paper we describe the production mechanism, characteristics and application of image periodicity in digital hologram reconstruction. Our study shows that the image distribution characteristics in the hologram reconstruction are strongly dependent on the option of RGB sampling mode due to a color filter array being used in the CCD camera, and the relevant demosaicing process of the sampling array reconstruction. The image and the dc noise from the hologram reconstruction may be of different distribution patterns due to the modulation function in the inverse Fourier transform of a full monochromatic sampling array (MSA) with demosaicing. Thus, this work reveals the potential relationship between the demosaicing algorithm for a full MSA reconstruction, the sampling frequency in the hologram recording, and the image periodicity in the hologram reconstruction. Finally the application of the image periodicity in zero-order noise suppression is discussed.