Single-frame image super-resolution inspired by perceptual criteria

IET Image Processing

Volumn 9, Issue 1, 2015, Pages 1-11

  Zhou, Fei ^a,b   Liao, Qingmin ^a,b  

^a TSINGHUA UNIVERSITY   (China)

^b Shenzhen Key Laboratory of Information Science and Technology   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MEAN SQUARE ERROR; OPTICAL RESOLVING POWER;

FEATURE SIMILARITY(FSIM); IMAGE SUPER RESOLUTIONS; MEAN SQUARED ERROR; OBJECTIVE FUNCTIONS; SINGLE FRAME IMAGE; STATE-OF-THE-ART METHODS; STRUCTURAL SIMILARITY INDICES (SSIM); VISUAL COMPARISON;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84917692691     PISSN: 17519659     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-ipr.2013.0808     Document Type: Article

References (48)

1. Park, S.C., Park, M.K., Kang, M.G.: 'Super-resolution image reconstruction: a technique overview', IEEE Signal Process. Mag., 2003, 20, (3), pp. 21-36
2. Ouwerkerk, J.D.: 'Image super-resolution survey', Image Vis. Comput., 2006, 24, (10), pp. 1039-1052
3. Huang, T.S., Tsai, R.Y.: 'Multi-frame image restoration and registration', Adv. Comput. Vis. Image Process., 1984, 1, pp. 317-339
4. Irani, M., Peleg, S.: 'Improving resolution by image registration', CVGIP, Graph. Models Image Process., 1991, 53, pp. 231-239
5. Stark, H., Oskoui, P.: 'High-resolution image recovery from image-plane arrays using convex projections', J. Opt. Soc. Am. A, 1989, 6, pp. 1715-1726
6. Schulz, R.R., Stevenson, R.L.: 'Extraction of high-resolution frames from video sequences', IEEE Trans. Image Process., 1996, 5, (6), pp. 996-1011
7. Ji, H., Fermüller, C.: 'Robust wavelet-based super-resolution reconstruction: theory and algorithm', IEEE Trans. Pattern Anal. Mach. Intell., 2009, 31, (4), pp. 649-660
8. Patti, A.J., Sezan, M.I., Tekalp, A.M.: 'Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time', IEEE Trans. Image Process., 1997, 6, (8), pp. 1064-1076
9. Ng, M.K., Shen, H., Lam, E.Y., Zhang, L.: 'A total variation regularization based super-resolution reconstruction algorithm for digital video', EURASIP J. Adv. Signal Process., 2007, 74585, pp. 1-16
10. He, Y., Yap, K.-H., Chen, L., Chau, L.-P.: 'A soft MAP framework for blind super-resolution image reconstruction', Image Vis. Comput., 2009, 27, (4), pp. 364-373
11. Lertrattanapanich, S., Bose, N.K.: 'High resolution image formation from low resolution frames using Delaunay triangulation', IEEE Trans. Image Process., 2002, 11, (12), pp. 1427-1441
12. Sánchez-Beato, A., Pajares, G.: 'Noniterative interpolation-based super-resolution minimizing aliasing in the reconstructed image', IEEE Trans. Image Process., 2008, 17, (10), pp. 1817-1826
13. Takeda, H., Farsiu, S., Milanfar, P.: 'Kernel regression for image processing and reconstruction', IEEE Trans. Image Process., 2007, 16, (4), pp. 349-366
14. Zhou, F., Yang, W., Liao, Q.: 'Interpolation-based image super-resolution using multisurface fitting', IEEE Trans. Image Process., 2012, 21, (7), pp. 3312-3318
15. Baker, S., Kanade, T.: 'Limits on super-resolution and how to break them', IEEE Trans. Pattern Anal. Mach. Intell., 2002, 24, (9), pp. 1167-1183
16. Zhou, F., Yang, W., Liao, Q.: 'A coarse-to-fine subpixel registration method to recover local perspective deformation in the application of image super-resolution', IEEE Trans. Image Process., 2012, 21, (1), pp. 53-66
17. Wang, Z., Qi, F.: 'On ambiguities in super-resolution modeling', IEEE Signal Process. Lett., 2004, 11, (8), pp. 678-681
18. Battiato, S., Gallo, G., Stanco, F.: 'A locally adaptive zooming algorithm for digital images', Image Vis. Comput., 2002, 20, (11), pp. 805-812
19. Lin, X., Orchard, M.T.: 'New edge-directed interpolation', IEEE Trans. Image Process., 2001, 10, (10), pp. 1521-1527
20. Wang, Q., Ward, R.K.: 'A new orientation-adaptive interpolation method', IEEE Trans. Image Process., 2007, 16, (4), pp. 889-900
21. Wu, W., Liu, Z., He, X.: 'Learning-based super resolution using kernel partial least squares', Image Vis. Comput., 2011, 29, (6), pp. 394-406
22. Freeman, W.T., Jones, T.R., Pasztor, E.Z.: 'Example-based superresolution', IEEE Comput. Graph. Appl., 2002, 22, (2), pp. 56-65
23. Chang, H., Yeung, D.-Y., Xiong, Y.: 'Super-resolution through neighbor embedding'. Proc. Computer Vision and Patten Recognition, 2004, pp. 275-282
24. Chan, T.-M., Zhang, J., Pu, J., Huang, H.: 'Neighbor embedding based super-resolution algorithm through edge detection and feature selection', Pattern Recognit. Lett., 2009, 30, (5), pp. 494-502
25. Wang, J., Zhu, S., Gong, Y.: 'Resolution enhancement based on learning the sparse association of image patches', Pattern Recognit. Lett., 2010, 31, (1), pp. 1-10
26. Kim, K.I., Kwon, Y.: 'Single-image super-resolution using sparse regression and natural image prior', IEEE Trans. Pattern Anal. Mach. Intell., 2010, 32, (6), pp. 1127-1133
27. Yang, J., Wright, J., Ma, Y., Huang, T.S.: 'Image super-resolution via sparse representation', IEEE Trans. Image Process., 2010, 19, (11), pp. 2861-2873
28. Dong, W., Zhang, L., Shi, G., Wu, X.: 'Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization', IEEE Trans. Image Process., 2011, 20, (7), pp. 1838-1857
29. Kim, D.-O., Han, H.-S., Park, R.-H.: 'Gradient information-based image quality metric', IEEE Trans. Consum. Electron., 2010, 56, (2), pp. 930-936
30. Wang, Z., Bovik, A.C.: 'Mean squared error: love it or leave it? - a new look at signal fidelity measures', IEEE Signal Process. Mag., 2009, 26, (1), pp. 98-117
31. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: 'Image quality assessment: from error visibility to structural similarity', IEEE Trans. Image Process., 2004, 13, (4), pp. 600-612
32. Sheikh, H.R., Bovik, A.C.: 'Image information and visual quality', IEEE Trans. Image Process., 2006, 15, (2), pp. 430-444
33. Zhang, L., Zhang, L., Mou, X., Zhang, D.: 'FSIM: a feature similarity index for image quality assessment', IEEE Trans. Image Process., 2011, 20, (8), pp. 2378-2386
34. Chang, H.W., Yang, H., Gan, Y., Wang, M.H.: 'Sparse feature fidelity for perceptual image quality assessment', IEEE Trans. Image Process., 2013, 22, (10), pp. 4007-4018
35. Channappayya, S.S., Bovik, A.C., Caramanis, C., Heath, R.W.: 'Design of linear equalizers optimized for the structural similarity index', IEEE Trans. Image Process., 2008, 17, (6), pp. 857-872
36. Brunet, D., Vrscay, E.R., Wang, Z.: 'Structural similarity-based approximation of signals and images using orthogonal bases'. Int. Conf. Image Analysis and Recognition, 2010
37. Ou, T.-S., Huang, Y.-H., Chen, H.H.: 'SSIM-based perceptual rate control for video coding', IEEE Trans. Circuits Syst. Video Technol., 2011, 21, (5), pp. 682-691
38. Jolliffe, I.T.: 'Principal component analysis' (Springer-Verlag, New York, 1986)
39. Thomaza, C.E., Giraldib, G.A.: 'A new ranking method for principal components analysis and its application to face image analysis', Image Vis. Comput., 2010, 28, (6), pp. 902-913
40. Lin, Z., He, J., Tang, X.: 'Limits of learning-based superresolution algorithms', Int. J. Comput. Vis., 2008, 80, (3), pp. 406-420
41. Chen, J., Shan, S., He, C., et al.: 'WLD: a robust local image descriptor', IEEE Trans. Pattern Anal. Mach. Intell., 2010, 32, (9), pp. 1705-1720
42. Liu, C., Shum, H.-Y., Freeman, W.T.: 'Face hallucination: theory and practice', Int. J. Comput. Vis., 2007, 75, (1), pp. 115-134
43. Wang, Z., Simoncelli, E.P.: 'Maximum differentiation (MAD) competition: a methodology for comparing computational models of perceptual quantities', J. Vis., 2008, 8, (12), pp. 1-13
44. Liu, T.-J., Lin, W., Jay Kuo, C.-C.: 'Image quality assessment using multi-method fusion', IEEE Trans. Image Process., 2013, 22, (5), pp. 1793-1807
45. Yang, J.: 'Image super-resolution via patch-wise sparse recovery', http://www.ifp.illinois.edu/~jyang29/ScSR.htm
46. Elad, M., Aharon, M.: 'Image denoising via sparse and redundant representations over learned dictionaries', IEEE Trans. Image Process., 2006, 15, (12), pp. 3736-3745
47. Larson, E.C., Chandler, D.M.: 'Categorical image quality (CSIQ) database', http://vision.okstate.edu/csiq
48. Zhang, L., Dong, W., Zhang, D., Shi, G.: 'Two-stage image denoising by principal component analysis with local pixel grouping', Pattern Recognit., 2010, 43, pp. 1531-1549