2D Iterative Detection Network Based Image Restoration: Principles, Applications and Performance Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00192389" target="_blank" >RIV/68407700:21230/12:00192389 - isvavai.cz</a>
Result on the web
<a href="http://www.intechopen.com/books/image-restoration-recent-advances-and-applications/2d-iterative-detection-network-based-image-restoration" target="_blank" >http://www.intechopen.com/books/image-restoration-recent-advances-and-applications/2d-iterative-detection-network-based-image-restoration</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5772/35566" target="_blank" >10.5772/35566</a>
Alternative languages
Result language
angličtina
Original language name
2D Iterative Detection Network Based Image Restoration: Principles, Applications and Performance Analysis
Original language description
Image capturing is corrupted by numerous perturbing influences. These influences are divisible to time-invariant and temporal. The typical time-invariant influence is an image blurring, rising from various causes, that can be mathematically understood asdeterministic 2D ISI channel or FSM (Finite state machine). Among temporal influences pertain especially noises on the other hand. There are four significant noise sources in the case of a camera with CCD (CMOS) sensor: photon noise (Poisson), thermal noise (Poisson), readout noise (Gaussian) and quantization noise.The photon noise cannot be compensated because its origin is located front of the lens. Therefore we will not take it into account. The thermal noise, readout noise and quantization noise together create one composite noise of the CCD/CMOS sensor that affects on the captured blurred image as the random IECS-ML channel. Such channel is biased by mean value and standard deviation of the readout noise, depending on the sensor r
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP102%2F10%2F1320" target="_blank" >GAP102/10/1320: Research and modeling of advanced methods of image quality evaluation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Image Restoration - Recent Advances and Applications
ISBN
978-953-51-0388-2
Number of pages of the result
36
Pages from-to
315-350
Number of pages of the book
372
Publisher name
InTech - Open Access Company (InTech Europe)
Place of publication
Rijeka
UT code for WoS chapter
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