Share Email Print
cover

Proceedings Paper

The iterative detection network suppression of defocusing and thermal noise in black and white pictures shot by a camera with CCD/CMOS sensor
Author(s): Daniel Kekrt; Radek Podgorny; Milos Klima
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The paper deals with elimination of defocusing and thermal noise out of black & white pictures captured by a CCD/CMOS camera with imperfectly adjusted lens. For purposes of image recovery we can use the MAP criterion based iterative detection network (IDN) containing a number of mutually concatenated functional blocks so-called soft inversions (SISOs). This cellular structure makes IDN suboptimal but also numerically very simple and practically applicable in contrast to an unviable optimal (single-stage) MAP detector. Firstly we focus closer on SISO entities and consequently on the creation of entire IDN, specifically the so-called distributed IDN marginalizing at the symbol level. In the end, image reconstruction example will be presented (using this type of IDN) along with its performance characteristics (BER curves) for various levels of defocus.

Paper Details

Date Published: 18 November 2008
PDF: 7 pages
Proc. SPIE 7138, Photonics, Devices, and Systems IV, 71381Z (18 November 2008);
Show Author Affiliations
Daniel Kekrt, Czech Technical Univ. in Prague (Czech Republic)
Radek Podgorny, Czech Technical Univ. in Prague (Czech Republic)
Milos Klima, Czech Technical Univ. in Prague (Czech Republic)


Published in SPIE Proceedings Vol. 7138:
Photonics, Devices, and Systems IV
Pavel Tománek; Dagmar Senderáková; Miroslav Hrabovský, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray