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The iterative detection network based suppression of the thermal noise and blurring due to object moving in black and white pictures shot by a camera with CCD/CMOS sensor
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Paper Abstract

The paper deals with elimination of blurring caused by the object moving and thermal noise in black & white pictures captured by a CCD/CMOS camera. This problem can be also interpreted like image passage through some kind of ISI channel with specific 2D impulse response. Hence 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 to parameters determination of the image blurring hypothetical model (misrepresenting ISI channel). Consequently we are going to deal with the SISO entities and the synthesis of entire IDN, specifically the synthesis of so-called distributed IDN marginalizing at the symbol level because this structure presents the best solution for the mentioned issue. At the end, the image reconstruction example will be presented (using this type of IDN).

Paper Details

Date Published: 5 September 2008
PDF: 9 pages
Proc. SPIE 7076, Image Reconstruction from Incomplete Data V, 70760M (5 September 2008); doi: 10.1117/12.794224
Show Author Affiliations
Daniel Kekrt, Czech Technical Univ. in Prague (Czech Republic)
Miloš Klíma, Czech Technical Univ. in Prague (Czech Republic)
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)

Published in SPIE Proceedings Vol. 7076:
Image Reconstruction from Incomplete Data V
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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