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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

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

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