Abonnement à la biblothèque: Guest
Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections
Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009

Volume 78, 2019 Volume 77, 2018 Volume 76, 2017 Volume 75, 2016 Volume 74, 2015 Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v52.i9.160
pages 64-76

Spatial Filtering With a Discrete Nonequidistant Array

V. P. Titar
V. Karazin National University of Kharkov, 4, Svoboda Sq., Kharkov, 61077, Ukraine
T. V. Bogdanova
V. Karazin National University of Kharkov, 4, Svoboda sq., Kharkov, 61077, Ukraine


This paper describes the properties of a nonequidistant array used as a spatial filter for recording discrete holograms of scenes comprising objects of different dimensions and reflectivity.
A distinguishing feature of well-known methods for local or bandpass spatial filtering is that these methods allow us to isolate specific regions of the spatial frequency spectrum of holographic objects [1]. However, in this case the images of all objects are generally filtered to the same extent, without regard for their dimensions and reflection characteristics. The use of filter masks applied over a hologram and transparent in certain continuous regions of the spatial spectrum results in blurring the target image or in emphasizing its boundaries (isolation of characteristic points) at the expense of finer details. In such a case the holographic resolution is adversely affected [2]. The matched holographic filtering technique [1] provides a comparison between the spectrum of the reference hologram and the spectrum of the scene comprising different objects. In this case the resulting correlated response shows a degree of matching of the analyzed spectrum to the reference one. If a priori information is incomplete and the matched filter cannot be constructed, or if it is necessary to obtain and analyze a target image while suppressing the images of other objects that significantly differ in size and reflection characteristics from the selected (target) one, well-known methods of spatial filtering are inadequate.
A study of nonequidistant arrays has shown that these arrays have the capability of filtering spatial frequencies [3]. This paper demonstrates that the use of nonequidistant arrays for hologram recording allows us to isolate target images in the presence of other objects, and moreover to improve the image contrast of selected objects as compared to their contrast in the holographic scene.

Articles with similar content:

Synthesis of Adaptive Noise Compensation System with Parallel-Serial Input Signal Processing
Journal of Automation and Information Sciences, Vol.32, 2000, issue 3
Vadim P. Prokofyev, Yuriy P. Chinayev, Alexander I. Nevolko
Synthesis of a Quasioptimal Receiver of MFSK Signal against a Background of FM Interference and Gaussian Noise for a Double-Channel Observation. The General Case and Case of a Perfect Reference Channel
Telecommunications and Radio Engineering, Vol.63, 2005, issue 2-6
V. I. Zhuravlev, O. V. Nazarov, Yu. I. Savvateev
Telecommunications and Radio Engineering, Vol.77, 2018, issue 8
L. F. Kupchenko, A. S. Rybiak, O. A. Goorin
Super-Resolution Method Based on Wavelet Atomic Functions in Images and Video Sequences
Telecommunications and Radio Engineering, Vol.68, 2009, issue 9
F. Gomeztagle, Victor Filippovich Kravchenko, Volodymyr Ponomaryov
Radio Physics and Radio Astronomy, Vol.3, 2012, issue 2
V. L. Koliadin