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008 170308s2014||||enk o ||1 0|eng|d
020 _a9781107360181 (ebook)
020 _z9781107044364 (hardback)
020 _z9781107621497 (paperback)
035 _a(UkCbUP)CR9781107360181
039 9 _y03-08-2017
_zhafiz
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aTA1637.5
_b.M68 2014
082 0 0 _a006.6
_223
245 0 0 _aMotion Deblurring :
_bAlgorithms and Systems /
_cedited by A. N. Rajagopalan, Rama Chellappa.
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (306 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 07 Mar 2017).
520 _aA comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cutting-edge research. It encompasses both algorithms and architectures, providing detailed coverage of practical techniques by leading researchers. From an algorithms perspective, blind and non-blind approaches are discussed, including the use of single or multiple images; projective motion blur model; image priors and parametric models; high dynamic range imaging in the irradiance domain; and image recognition in blur. Performance limits for motion deblurring cameras are also presented. From a systems perspective, hybrid frameworks combining low-resolution-high-speed and high-resolution-low-speed cameras are described, along with the use of inertial sensors and coded exposure cameras. Also covered is an architecture exploiting compressive sensing for video recovery. A valuable resource for researchers and practitioners in computer vision, image processing, and related fields.
700 1 _aRajagopalan, A. N.,
_eeditor.
700 1 _aChellappa, Rama,
_eeditor.
776 0 8 _iPrint version:
_z9781107044364
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781107360181
907 _a.b16441904
_b2022-10-31
_c2019-11-12
942 _n0
914 _avtls003618499
998 _anone
_b2017-08-03
_cm
_da
_feng
_genk
_y0
_z.b16441904
999 _c617406
_d617406