000 03114nam a22005415i 4500
001 978-3-319-93006-0
003 DE-He213
005 20220801221434.0
007 cr nn 008mamaa
008 180702s2019 sz | s |||| 0|eng d
020 _a9783319930060
_9978-3-319-93006-0
024 7 _a10.1007/978-3-319-93006-0
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
100 1 _aBarbu, Tudor.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_956022
245 1 0 _aNovel Diffusion-Based Models for Image Restoration and Interpolation
_h[electronic resource] /
_cby Tudor Barbu.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aVIII, 126 p. 31 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4870
505 0 _aIntroduction -- Linear PDE-based Image Denoising Schemes -- Nonlinear Diffusion-based Image Restoration Models -- Variational and PDE Models for Image Interpolation -- Conclusions.
520 _aThis book covers two essential PDE-based image processing fields: image denoising and image inpainting. It describes the state-of-the-art PDE-based image restoration and interpolation (inpainting) techniques, focusing on the latest advances in PDE-based image processing and analysis, and explores novel techniques involving diffusion-based models and variational schemes. The PDE and variational schemes clearly outperform the conventional approaches in these areas, and can successfully remove image noise and reconstruct missing or highly degraded regions, while preserving the essential features and avoiding unintended effects. The book addresses researchers and graduate students, but is also well suited for professionals in both the mathematics and electrical engineering domains, as it provides rigorous mathematical investigations of the image processing models described, as well as mathematical treatments for the numerical approximation schemes of these differential models. .
650 0 _aComputer vision.
_956023
650 0 _aDifferential equations.
_956024
650 0 _aComputational intelligence.
_97716
650 1 4 _aComputer Vision.
_956025
650 2 4 _aDifferential Equations.
_956026
650 2 4 _aComputational Intelligence.
_97716
710 2 _aSpringerLink (Online service)
_956027
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319930053
776 0 8 _iPrinted edition:
_z9783319930077
776 0 8 _iPrinted edition:
_z9783030065669
830 0 _aSignals and Communication Technology,
_x1860-4870
_956028
856 4 0 _uhttps://doi.org/10.1007/978-3-319-93006-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79671
_d79671