18.4.3.2 Super Resolution, Survey, Evaluation, Overviews

Chapter Contents (Back)
Survey, Super Resolution. Super Resolution.

Salient Stills,
2003. Company that turns video into still images, the market is newspapers. Take a 640X480 video and generate a 3KX2K still image.
WWW Version. See also Salient Video Stills: Content and Context Preserved.

Almalence Incorporated,
2005. Sells PhotoAcute Studio.
WWW Version. Vendor, Superresolution. Create high resolution images. Also an HDR product.

Strohl, G.E., Parrish, Jr., E.A.,
A model for evaluating the effectiveness of resolution enhancement algorithms,
PR(3), No. 3, October 1971, pp. 325-330.
WWW Version. 0309
BibRef

Hunt, B.R.,
Superresolution of images: algorithms, principles, performance,
IJIST(6), No. 4, Winter 1995, pp. 297-304. Subpixel edges. BibRef 9500

Miller, C.[Casey], Hunt, B.R., Kendrick, R.L., Duncan, A.L.,
Reconstruction and Super-Resolution of Dilute Aperture Imagery,
ICIP96(I: 697-699).
IEEE DOI Link BibRef 9600

Keightley, D., Hunt, B.R.,
A rigid POCS extension to a Poisson super-resolution algorithm,
ICIP95(II: 508-511).
IEEE DOI Link 9510
BibRef

Chaudhuri, S.[Subhasis],
Super-Resolution Imaging,
KluwerSeptember 2001, ISBN 0-7923-7471-1
WWW Version. BibRef 0109

Leizerson, I., Lipson, S.G., Sarafis, V.,
Superresolution in far-field imaging,
JOSA-A(19), No. 3, March 2002, pp. 436-443.
WWW Version. 0204
BibRef

Baker, S.[Simon], Kanade, T.[Takeo],
Limits on Super-Resolution and How to Break Them,
PAMI(24), No. 9, September 2002, pp. 1167-1183.
IEEE Abstract. IEEE Top Reference. 0209
BibRef
Earlier: CVPR00(II: 372-379).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
Super-resolution based on the constraint that the SR image should generate the input image with appropriate warping and downsampling. Add new constraint, atempt to recognize features and enhance their appearance. BibRef

Baker, S., and Kanade, T.,
Super Resolution Optical Flow,
CMU-RI-TR-99-36, October, 1999.
HTML Version. BibRef 9910

Liu, H.T.[Hai-Tao], Yan, Y.B.[Ying-Bai], Tan, Q.F.[Qiao-Feng], Jin, G.F.[Guo-Fan],
Theories for the design of diffractive superresolution elements and limits of optical superresolution,
JOSA-A(19), No. 11, November 2002, pp. 2185-2193.
WWW Version. 0211
BibRef

Liu, H.T.[Hai-Tao], Yan, Y.[Yingbai], Yi, D.[Deer], Jin, G.[Guofan],
Theories for the design of a hybrid refractive-diffractive superresolution lens with high numerical aperture,
JOSA-A(20), No. 5, May 2003, pp. 913-924.
WWW Version. 0307
BibRef

Lin, Z.C.[Zhou-Chen], Shum, H.Y.[Heung-Yeung],
Fundamental limits of reconstruction-based superresolution algorithms under local translation,
PAMI(26), No. 1, January 2004, pp. 83-97.
IEEE Abstract. IEEE Top Reference. 0401
BibRef
And: Response to comments: PAMI(28), No. 5, May 2006, pp. 847-847.
IEEE DOI Link 0604
BibRef
Earlier:
On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms,
CVPR01(I:1171-1176).
IEEE Abstract. IEEE Top Reference. 0110
Reconstruction-Based: simulate the image formation process. Conclusion seems to be that the limit is 1.6X, though 5.7X under synthetic conditions. To achieve real gains use recognition-based algorithms. BibRef

Wang, L.W.[Li-Wei], Feng, J.F.[Ju-Fu],
Comments on 'Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation',
PAMI(28), No. 5, May 2006, pp. 846-846.
IEEE DOI Link 0604
BibRef

Schultz, R.R.,
Super-resolution enhancement of native digital video versus digitized NTSC sequences,
Southwest02(193-197).
IEEE Top Reference. 0208
BibRef

Robinson, D., Milanfar, P.[Peyman],
Statistical Performance Analysis of Super-Resolution,
IP(15), No. 6, June 2006, pp. 1413-1428.
IEEE DOI Link 0606
BibRef

Farsiu, S.[Sina], Robinson, D.[Dirk], Elad, M.[Michael], Milanfar, P.[Peyman],
Advances and challenges in super-resolution,
IJIST(14), No. 2, 2004, pp. 47-57.
WWW Version. 0408
BibRef

Choi, E.[Euncheol], Choi, J.[Jongseong], Kang, M.G.[Moon Gi],
Super-resolution approach to overcome physical limitations of imaging sensors: An overview,
IJIST(14), No. 2, 2004, pp. 36-46.
WWW Version. 0408
BibRef

van Ouwerkerk, J.D.,
Image super-resolution survey,
IVC(24), No. 10, 1 October 2006, pp. 1039-1052.
WWW Version. 0609
Survey, Super Resolution. Single frame BibRef

Shieh, H.M.[Hsin M.], Byrne, C.L.[Charles L.], Fiddy, M.A.[Michael A.],
Image reconstruction: a unifying model for resolution enhancement and data extrapolation. Tutorial,
JOSA-A(23), No. 2, February 2006, pp. 258-266.
WWW Version. 0610
BibRef

Shieh, H.M.[Hsin M.], Byrne, C.L.[Charles L.], Testorf, M.E.[Markus E.], Fiddy, M.A.[Michael A.],
Iterative image reconstruction using prior knowledge,
JOSA-A(23), No. 6, June 2006, pp. 1292-1300.
WWW Version. 0610
BibRef

Shieh, H.M.[Hsin M.], Byrne, C.L.[Charles L.],
Image reconstruction from limited Fourier data,
JOSA-A(23), No. 11, November 2006, pp. 2732-2736.
WWW Version. 0801
BibRef

Chaudhuri, S.[Subhasis], Joshi, M.V.[Manjunath V.],
Motion-Free Super-Resolution,
Springer2005, ISBN 978-0-387-25890-4.
WWW Version. Various methods of generating super-resolution (SR) images from a set of low-resolution images. BibRef 0500

Park, S.C., Park, M.K., and Kang, M.G.,
Super-resolution image reconstruction: a technical overview,
SPMag(20), 2003, pp. 21-36. BibRef 0300

Katsaggelos, A.K.[Aggelos K.], Mateos, J.[Javier], Molina, R.[Rafael],
Super Resolution of Images and Video,
Morgan Claypool2007. Synthesis Lectures on Image, Video, and Multimedia Processing Survey, Super Resolution.
WWW Version. BibRef 0700

Bannore, V.[Vivek],
Iterative-Interpolation Super-Resolution Image Reconstruction: A Computationally Efficient Techniqu,
Springer2009, ISBN: 978-3-642-00384-4
WWW Version. Survey, Super Resolution. To purchase this book look here BibRef 0900


Arora, H.[Himanshu], Namboodiri, A.M.[Anoop M.],
How Much Zoom is the Right Zoom from the Perspective of Super-Resolution?,
ICCVGIP08(142-149).
IEEE DOI Link 0812
BibRef

Reibman, A.R., Bell, R.M., Gray, S.,
Quality assessment for super-resolution image enhancement,
ICIP06(2017-2020). 0610

IEEE DOI Link BibRef

Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Image Manipulation -- Expansion, Zoom, Magnification .


Last update:Nov 16, 2009 at 19:35:14