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Video error concealment using sparse recovery and local dictionaries
2011
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Video error concealment is a post-processing technique that conceals the errors in a decoded video sequence based on data available only at the decoder. ...
We propose a method that does not rely on MV recovery, but essentially bases on sparse representation of image patches on local temporal dictionaries. ...
To solve (P4), we use a quadratic optimization algorithm based on Linear Complementary Programming, which is extremly simple and suitable for small scale local dictionaries. ...
doi:10.1109/icassp.2011.5946606
dblp:conf/icassp/NguyenDT11
fatcat:5mr5lefkczbzlepbjxgy45ixei
Application of Optimized Sparse Antenna Array in Near Range 3D Microwave Imaging
2013
IEICE transactions on communications
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This paper focuses on the application of optimized sparse array in 3D imaging geometry. ...
Therefore, this paper establishes the echo model with the error and deduces 3D back-projection (BP) algorithm with the compensation of the error. ...
This paper focuses on the application of optimized sparse array in 3D imaging geometry. ...
doi:10.1587/transcom.e96.b.2542
fatcat:e2uocnvatncedgbuqrxqv7ncha
Sequential Error Concealment for Video/Images by Sparse Linear Prediction
2013
IEEE transactions on multimedia
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In this paper we propose a novel sequential error concealment algorithm for video and images based on sparse linear prediction. Block-based coding schemes in packet loss environment are considered. ...
Index Terms-Error concealment, block-coded images/video, convex optimization, missing data imputation, sparse representation Antonio M. ...
The convex optimization based error concealment algorithm and its exponential approximation are presented in Section III. The model for video sequences is treated in Section IV. ...
doi:10.1109/tmm.2013.2238524
fatcat:y6hkrxhunjh5zf64auadoww364
Improved performance of inverse halftoning algorithms via coupled dictionaries
2015
2015 IEEE International Conference on Multimedia and Expo (ICME)
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To reduce the severity of these distortions, we propose a novel training approach for inverse halftoning algorithms. ...
The proposed technique uses a coupled dictionary (CD) to match distorted and original images via a sparse representation.This technique enforces similarities of sparse representations between distorted ...
To enhance the quality of reconstructed images, in this work we use a sparse representation of the original and halftoned images and an error concealment technique based on error correcting codes. ...
doi:10.1109/icme.2015.7177457
dblp:conf/icmcs/FreitasFA15
fatcat:gap5tp2en5gxfilsjmb5whio5m
Joint Sparse Learning with Nonlocal and Local Image Priors for Image Error Concealment
2019
IEEE transactions on circuits and systems for video technology (Print)
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Index Terms-Robust image transmission, packet loss, error concealment, sparse representation, mapping learning. 1051-8215 (c) ...
In this paper, the JSR model is extended to error concealment (EC) application, being effective to recover the original image from its corrupted version. ...
error concealment application. ...
doi:10.1109/tcsvt.2019.2927912
fatcat:cuqi53u565ahtf7af45ukvbama
Mixed X-Ray Image Separation for Artworks with Concealed Designs
[article]
2022
arXiv
pre-print
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The analysis sub-network is based on learned coupled iterative shrinkage thresholding algorithms (LCISTA) designed using algorithm unrolling techniques, and the synthesis sub-network consists of several ...
One of these reconstructed images is related to the X-ray image of the concealed painting, while the second one contains only information related to the X-ray of the visible painting. ...
The analysis component is designed based on algorithm unrolling techniques and the synthesis component is designed based on a linear convolutional model. ...
arXiv:2201.09167v1
fatcat:qhye3w4y6jevnae5loku6ov6je
Spatial error concealment with sequence-aligned texture modeling and adaptive directional recovery
2011
Journal of Visual Communication and Image Representation
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A spatial error concealment technique based on the sequence-aligned texture modeling and the adaptive directional recovery is proposed in this work. ...
The selection criterion is based on the texture pattern modes of surrounding uncorrupted blocks. ...
[5] used the expectation maximization (EM) algorithm in the Bayesian framework for image inpainting. The EM algorithm attempts to recover missing samples based on the sparse representations. ...
doi:10.1016/j.jvcir.2010.12.002
fatcat:6zgyx4iakfggplq5azayba35qi
Disparity-based Error Concealment for Stereoscopic Images with Superpixel Segment
2018
KSII Transactions on Internet and Information Systems
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In this step, a strategy based on boundary smoothness is proposed to adaptively select the optimal disparity which is used for error concealment. ...
To solve the problem of transmission errors in stereoscopic images, this paper proposes a novel error concealment (EC) method using superpixel segmentation and adaptive disparity selection (SSADS). ...
A spatial error concealment algorithm for video and images based on convex optimization is proposed in [8] . ...
doi:10.3837/tiis.2018.09.014
fatcat:odp5h3gterd45lcbastkofxbca
Research on Digital Watermark Algorithm based on Compression Perception
2016
International Journal of Security and Its Applications
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This paper first proposes a network adaptive sparse transformation method based on dictionary learning. ...
The reference [8] proposes a multi sensor image fusion and dual watermark algorithm based on wavelet packet domain, and the experimental results show that the fusion image can effectively improve the spatial ...
The reference [4] proposes a digital watermark algorithm based on discrete wavelet transform which has been improved even. ...
doi:10.14257/ijsia.2016.10.6.17
fatcat:2tcpqvxyx5eudjg67rll6yxurm
Page 768 of Mathematical Reviews Vol. , Issue 2003A
[page]
2003
Mathematical Reviews
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correction codes using real or complex numbers (Chapter 17); error concealment for image signals as op- posed to speech signals (Chapter 18). ...
Sparsely sampled irregular arrays and random arrays are used in radar, sonar, ultrasound imaging and seismics and, in this way, Chapter 19 deals with the optimization of sparse arrays, array optimization ...
Table of contents
2020
IEEE transactions on circuits and systems for video technology (Print)
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Liu 2550 Joint Sparse Learning With Nonlocal and Local Image Priors for Image Error Concealment ............................. ........................................................................... ...
RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning ...................................................... X. Deng, P. Song, M. R. D. ...
doi:10.1109/tcsvt.2020.3005583
fatcat:fzrumcitirg3tkr3yltcedm3ti
Character index
2011
2011 IEEE International Conference on Multimedia and Expo
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PLATFORM Wei Siong Lee PATTERN SELECTION FOR ERROR-RESILIENT SLICE INTERLEAVING BASED ON RECEIVER ERROR CONCEALMENT TECHNIQUE AUTOMATIC TRANSCRIPTION OF PIANO MUSIC BY SPARSE REPRESENTATION OF MAGNITUDE ...
SLICE INTERLEAVING BASED ON RECEIVER ERROR CONCEALMENT TECHNIQUE 09/08/2011 file://F:\HTML\Authors.html Page 132 of 155 2011 IEEE International Conference on Multimedia and Expo Vrizlynn Thing CONTENT ...
doi:10.1109/icme.2011.6011827
fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu
A Reversible Data Hiding Algorithm Based on Image Camouflage and Bit-Plane Compression
2021
Computers Materials & Continua
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An edge optimization method based on prediction algorithm is designed to improve the image camouflage encryption quality. ...
This paper proposes a reversible data hiding algorithm based on image camouflage encryption and bit plane compression. ...
Compared to exist image camouflage, an edge optimization method based on prediction algorithm is designed to improve the image encryption quality. ...
doi:10.32604/cmc.2021.016605
fatcat:cg6a76azrjbh3czd5amajmndjq
Overview of Digital Image Inpainting Technology
2020
DEStech Transactions on Computer Science and Engineering
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The repair model that the researcher needs to establish is based on the observation of human vision and based on the information of the unimpaired area to predict and fill the area to be repaired. ...
Its essence is to repair the damaged area based on the texture information of the undamaged area. ...
As shown in Figure 1 :
Sparse Representation Method The image repair method based on sparse representation allows image blocks to be regarded as sparse on a certain set of bases. ...
doi:10.12783/dtcse/cisnr2020/35134
fatcat:bcvxrfohnjdsdlgsiiae7qgwda
Cylindrical Three-Dimensional Millimeter-Wave Imaging via Compressive Sensing
2015
International Journal of Antennas and Propagation
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In order to reduce the complexity of the hardware, a novel MMW imaging method based on compressive sensing (CS) is proposed in this paper. ...
Thus the number of antennas and the cost of system can be further reduced than those based on the traditional imaging methods that obey the Nyquist sampling theorem. ...
In this paper, we introduce an operator as the sensing matrix to represent the traditional imaging process based on wavenumber domain algorithm (WDA) [12] . ...
doi:10.1155/2015/218751
fatcat:pvlkbnvb2nc73dlmsvznxoho6e
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