23.2.8.2 Document Quality Enhancement, Super Resolution Evaluation

Chapter Contents (Back)
Documents. Enhancement. Super Resolution.

Capel, D.[David],
Image Mosaicing and Super-resolution,
Springer-Verlag2004. ISBN 1-85233-771-0.
HTML Version. BibRef 0400 Ph.D.Thesis. Oxford. 2001. BibRef

Capel, D.[David], Zisserman, A.[Andrew],
Super-Resolution from Multiple Views Using Learnt Image Models,
CVPR01(II:627-634).
IEEE DOI 0110
BibRef
Earlier:
Super-resolution Enhancement of Text Image Sequences,
ICPR00(Vol I: 600-605).
IEEE DOI 0009
BibRef
Earlier:
Automated Mosaicing with Super-resolution Zoom,
CVPR98(885-891).
IEEE DOI BibRef

Devaney, A.J.[Anthony J.], Guo, P.Y.[Peng-Yi],
Superresolution imaging from limited-aperture optical diffracted field data,
JOSA-A(22), No. 6, June 2005, pp. 1086-1092.
WWW Link. 0601
BibRef

Donaldson, K.[Katherine], Myers, G.K.[Gregory K.],
Bayesian Super-Resolution of Text in Video with a Text-Specific Bimodal Prior,
IJDAR(7), No. 2-3, July 2005, pp. 159-167.
Springer DOI 0508
BibRef
Earlier: CVPR05(I: 1188-1195).
IEEE DOI 0507
BibRef

Mancas-Thillou, C.[CÚline], Ferreira, S.[Silvio], Gosselin, B.[Bernard],
An Embedded Application for Degraded Text Recognition,
JASP(2005), No. 13, 2005, pp. 2127-2135.
WWW Link. 0603
BibRef

Mancas-Thillou, C., Mancas, M., Gosselin, B.,
Camera-based degraded character segmentation into individual components,
ICDAR05(II: 755-759).
IEEE DOI 0508
BibRef

Sroubek, F., Cristobal, G., Flusser, J.,
A Unified Approach to Superresolution and Multichannel Blind Deconvolution,
IP(16), No. 9, September 2007, pp. 2322-2332.
IEEE DOI 0709
BibRef

Sroubek, F.[Filip], Flusser, J.[Jan],
Resolution enhancement via probabilistic deconvolution of multiple degraded images,
PRL(27), No. 4, March 2006, pp. 287-293.
WWW Link. 0602
BibRef
Earlier:
Registration and Fusion of Blurred Images,
ICIAR04(I: 122-129).
Springer DOI 0409
Image fusion; Multichannel blind deconvolution; Image registration; MAP estimator BibRef

Walha, R.[Rim], Drira, F.[Fadoua], Lebourgeois, F.[Franck], Alimi, A.M.[Adel M.], Garcia, C.[Christophe],
Resolution enhancement of textual images: a survey of single image-based methods,
IET-IPR(10), No. 4, 2016, pp. 325-337.
DOI Link 1604
BibRef
Earlier: A1, A2, A3, A5, A4:
Sparse Coding with a Coupled Dictionary Learning Approach for Textual Image Super-resolution,
ICPR14(4459-4464)
IEEE DOI 1412
BibRef
Earlier:
Multiple Learned Dictionaries Based Clustered Sparse Coding for the Super-Resolution of Single Text Image,
ICDAR13(484-488)
IEEE DOI 1312
character recognition. Dictionaries BibRef

Walha, R.[Rim], Drira, F.[Fadoua], Lebourgeois, F.[Franck],
Single Textual Image Super-Resolution Using Multiple Learned Dictionaries Based Sparse Coding,
CIAP13(II:439-448).
Springer DOI 1309
BibRef

Abedi, A.[Ali], Kabir, E.[Ehsanollah],
Text-image super-resolution through anchored neighborhood regression with multiple class-specific dictionaries,
SIViP(11), No. 2, February 2017, pp. 275-282.
WWW Link. 1702
BibRef


Yu, X.[Xiang], Luo, Y.P.[Yu-Pin],
Stratification-based super-resolution algorithm for document processing,
ICIVC17(766-772)
IEEE DOI 1708
Character recognition, Image edge detection, Image resolution, Training, document image, example-based, guided filter, real-time, stratification BibRef

Peyrard, C.[Clement], Baccouche, M.[Moez], Mamalet, F.[Franck], Garcia, C.[Christophe],
ICDAR2015 competition on Text Image Super-Resolution,
ICDAR15(1201-1205)
IEEE DOI 1511
BibRef

An, L.[Le], Thakoor, N.[Ninad], Bhanu, B.[Bir],
Vehicle logo super-resolution by canonical correlation analysis,
ICIP12(2229-2232).
IEEE DOI 1302
BibRef

Maruyama, M.[Minoru], Yamaguchi, T.[Takuma],
Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers,
ICDAR09(1365-1369).
IEEE DOI 0907
BibRef

Kato, Y.[Yuji], Deguchi, D.[Daisuke], Takahashi, T.[Tomokazu], Ide, I.[Ichiro], Murase, H.[Hiroshi],
Low Resolution QR-Code Recognition by Applying Super-Resolution Using the Property of QR-Codes,
ICDAR11(992-996).
IEEE DOI 1111
BibRef

Ohkura, A.[Ataru], Deguchi, D.[Daisuke], Ohkura, T.A.[Tomokazu< A1>Ataru], Deguchi, D.[Daisuke], Takahashi, T.[Tomokazu], Ide, I.[Ichiro], Murase, H.[Hiroshi],
Low-Resolution Character Recognition by Video-Based Super-Resolution,
ICDAR09(191-195).
IEEE DOI 0907
BibRef

Corduneanu, A., Platt, J.C.,
Learning Spatially-Variable Filters for Super-Resolution of Text,
ICIP05(I: 849-852).
IEEE DOI 0512
BibRef

Nomura, M., Yamamoto, K., Ohta, H., Kato, K.,
A proposal of the effective recognition method for low-resolution characters from motion images,
ICDAR05(II: 720-724).
IEEE DOI 0508
BibRef

Dalley, G., Freeman, B., Marks, J.,
Single-frame text super-resolution: a bayesian approach,
ICIP04(V: 3295-3298).
IEEE DOI 0505
BibRef

Li, H.P.[Hui-Ping], Doermann, D.S.[David S.],
Superresolution-based Enhancement of Text in Digital Video,
ICPR00(Vol I: 847-850).
IEEE DOI 0009
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Document Image Quality Evaluation .


Last update:Sep 25, 2017 at 16:36:46