Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Michael T. Orchard"'
Autor:
Michael T. Orchard, Lantao Yu
Publikováno v:
ICIP
This paper introduces a new approach for determining accurate locations of edges in natural images based on a location-directed image modeling framework. The inability to identify accurate locations follows from the inability to characterize the cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46aec357e89a85246af0966ea94841ee
https://doi.org/10.1109/icip.2019.8803267
https://doi.org/10.1109/icip.2019.8803267
Autor:
Lantao Yu, Michael T. Orchard
Publikováno v:
ICIP
This paper combines spatially-variant filtering and non-local low-rank regularization (NLR) to exploit non-local similarity in natural images in addressing the problem of image interpolation. We propose to build a carefully designed spatially-variant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d8c2f9da8fd9bd5412ef2d08189d9e
https://doi.org/10.1109/icip.2019.8802960
https://doi.org/10.1109/icip.2019.8802960
Autor:
Lantao Yu, Michael T. Orchard
Publikováno v:
ICASSP
This paper explores the modeling and exploitation of semi-local similarity in natural images to address the ill-posed nature of image interpolation. Our approach distinguishes itself from prior approaches by direct and careful use of semi-local simil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::610dde987b42ea7829fda7735a80b5e3
https://doi.org/10.1109/icassp.2019.8682362
https://doi.org/10.1109/icassp.2019.8682362
Autor:
Michael T. Orchard, Lantao Yu
Publikováno v:
ICIP
This paper explores the development and the use of a complex-valued, multi-resolution image representation to model and exploit local image structures in image-processing applications. Our approach distinguishes itself from prior approaches by constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54b5cebbe9573a4d9dc897827f0a36bb
https://doi.org/10.1109/icip.2018.8451676
https://doi.org/10.1109/icip.2018.8451676
Publikováno v:
IEEE Transactions on Signal Processing. 50:2843-2854
A multiple description transform coding (MDTC) method has been reported previously. The redundancy rate distortion (RRD) performance of this coding scheme for the independent and identically distributed (i.i.d.) two-dimensional (2-D) Gaussian source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9170e48f60ab5c459ab5e382f569b67d
https://doi.org/10.1109/tsp.2002.804062
https://doi.org/10.1109/tsp.2002.804062
Autor:
Xin Li, Michael T. Orchard
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 12:857-864
This paper introduces a new framework for error concealment in block-based image coding systems: sequential recovery. Unlike previous approaches that simultaneously recover the pixels inside a missing block, we propose to recover them in a sequential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8fd169510718b737ee1016aa2895697
https://doi.org/10.1109/tcsvt.2002.804882
https://doi.org/10.1109/tcsvt.2002.804882
Publikováno v:
IEEE Transactions on Information Theory. 48:1895-1921
This paper provides a mathematical analysis of transform compression in its relationship to linear and nonlinear approximation theory. Contrasting linear and nonlinear approximation spaces, we show that there are interesting classes of functions/rand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9baa2c49ef2b120edec8033aad7c65d
https://doi.org/10.1109/tit.2002.1013132
https://doi.org/10.1109/tit.2002.1013132
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 12:193-204
We propose multiple description (MD) video coders which use motion-compensated predictions. Our MD video coders utilize MD transform coding and three separate prediction paths at the encoder to mimic the three possible scenarios at the decoder: both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed0be7df79316ad1cdd955f07c23c459
https://doi.org/10.1109/76.993440
https://doi.org/10.1109/76.993440
Autor:
Michael T. Orchard, Xin Li
Publikováno v:
IEEE Transactions on Image Processing. 10:813-817
This paper sheds light on the least-square (LS)-based adaptive prediction schemes for lossless compression of natural images. Our analysis shows that the superiority of the LS-based adaptation is due to its edge-directed property, which enables the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad0404e1e70fcbaf2d9b7260cb5865b6
https://doi.org/10.1109/83.923277
https://doi.org/10.1109/83.923277
Autor:
Onur G. Guleryuz, Michael T. Orchard
Publikováno v:
IEEE Transactions on Information Theory. 47:945-956
Differential pulse-coded modulation (DPCM) encoding of Gaussian autoregressive (AR) sequences is considered. It is pointed out that DPCM is rate-distortion inefficient at low bit rates. Simple filtering modifications are proposed and incorporated int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::939bb34454c6c2b031a872a022c5cb07
https://doi.org/10.1109/18.915650
https://doi.org/10.1109/18.915650