1 |
H. Yang, A. C. Kot and X. Jiang, "Binarization of low-quality barcode images captured by mobile phones using local window of adaptive location and size," IEEE Transactions on Image Processing, vol. 21, no. 1, pp. 418-425, 2012.
DOI
|
2 |
C. Ren, X. He, Q. Teng, Y. Wu, and T. Q. Nguyen, "Single Image Super-Resolution Using Local Geometric Duality and Non-Local Similarity," IEEE Transactions on Image Processing, vol. 25, no. 5, pp. 2168-2183, 2016.
DOI
|
3 |
K. Hung and W. Siu, "Robust soft-decision interpolation using weighted least squares," IEEE Transactions on Image Processing, vol. 21, no. 3, pp. 1061-1069, 2012.
DOI
|
4 |
X. Zhang and X. Wu, "Image interpolation by adaptive 2-D autoregressive modeling and soft-decision estimation," IEEE Transactions on Image Processing, vol. 17, no. 6, pp. 887-896, 2008.
DOI
|
5 |
R. C. Gonzalez and R. E. Woods, Digital image processing, Prentice hall Upper Saddle River, NJ, 2008.
|
6 |
G. Polatkan, M. Zhou, L. Carin, D. Blei, and I. Daubechies, "A bayesian nonparametric approach to image super-resolution," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 2, pp. 346-358, 2015.
DOI
|
7 |
ISO/IEC18004, "Information technology - automatic identification and data capture techniques - qrcode bar code symbology specification," 2015.
|
8 |
InliteResearch, "Clearimage barcode recognition sdk," https://www.inliteresearch.com/ barcode-recognition-sdk.php, 2016.
|
9 |
K. Zhang, X. Gao, D. Tao, and X. Li, "Single image super-resolution with non-local means and steering kernel regression," IEEE Transactions on Image Processing, vol. 21, no. 11, pp. 4544-4556, 2012.
DOI
|
10 |
L. Zhang and X. Wu, "An edge-guided image interpolation algorithm via directional filtering and data fusion," IEEE Transactions on Image Processing, vol. 15, no. 8, pp. 2226-2238, 2006.
DOI
|
11 |
Z. Lin and H. Shum, "Fundamental limits of reconstruction-based superresolution algorithms under local translation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 1, pp. 83-97, 2004.
DOI
|
12 |
H. Chang, D. Yeung and Y. Xiong, "Super-resolution through neighbor embedding," in Proc. of Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, pp. I-I, 2004.
|
13 |
K. Zhang, X. Gao, X. Li, and D. Tao, "Partially supervised neighbor embedding for example-based image super-resolution," IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 2, pp. 230-239, 2011.
DOI
|
14 |
J. Yang, J. Wright, T. Huang, and Y. Ma, "Image super-resolution as sparse representation of raw image patches," in Proc. of Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-8, 2008.
|
15 |
K. I. Kim and Y. Kwon, "Single-image super-resolution using sparse regression and natural image prior," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 6, pp. 1127-1133, 2010.
DOI
|
16 |
C. Dong, C. C. Loy, K. He, and X. Tang, "Image super-resolution using deep convolutional networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 2, pp. 295-307, 2016.
DOI
|
17 |
B. A. Olshausen, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, no. 6583, pp. 607-609, 1996.
DOI
|
18 |
J. Yang, J. Wright, T. S. Huang, and Y. Ma, "Image super-resolution via sparse representation," IEEE Transactions on Image Processing, vol. 19, no. 11, pp. 2861-2873, 2010.
DOI
|
19 |
R. Zeyde, M. Elad and M. Protter, "On single image scale-up using sparse-representations," in Proc. of International Conference on Curves and Surfaces, pp. 711-730, 2010.
|
20 |
W. Dong, L. Zhang and G. Shi, "Centralized sparse representation for image restoration," in Proc. of 2011 International Conference on Computer Vision, pp. 1259-1266, 2011.
|
21 |
W. T. Freeman, T. R. Jones and E. C. Pasztor, "Example-based super-resolution," IEEE Computer Graphics and Applications, vol. 22, no. 2, pp. 56-65, 2002.
DOI
|
22 |
W. Liu and S. Li, "Sparse representation with morphologic regularizations for single image super-resolution," Signal Processing, vol. 98, no. 5, pp. 410-422, 2014.
DOI
|
23 |
W. Dong, L. Zhang, G. Shi, and X. Li, "Nonlocally centralized sparse representation for image restoration," IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1620-1630, 2013.
DOI
|
24 |
W. Dong, L. Zhang, G. Shi, and X. Wu, "Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization," IEEE Transactions on Image Processing, vol. 20, no. 7, pp. 1838-1857, 2011.
DOI
|
25 |
S. Yang, M. Wang, Y. Chen, and Y. Sun, "Single-image super-resolution reconstruction via learned geometric dictionaries and clustered sparse coding," IEEE Transactions on Image Processing, vol. 21, no. 9, pp. 4016-4028, 2012.
DOI
|
26 |
T. Peleg and M. Elad, "A statistical prediction model based on sparse representations for single image super-resolution," IEEE Transactions on Image Processing, vol. 23, no. 6, pp. 2569-2582, 2014.
DOI
|
27 |
J. Mairal, M. Elad and G. Sapiro, "Sparse representation for color image restoration," IEEE Transactions on Image Processing, vol. 17, no. 1, pp. 53-69, 2008.
DOI
|
28 |
D. L. Donoho and X. Huo, "Uncertainty principles and ideal atomic decomposition," IEEE Transactions on Information Theory, vol. 47, no. 7, pp. 2845-2862, 2001.
DOI
|
29 |
T. Ojala, M. Pietikainen and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, 2002.
DOI
|
30 |
E. J. Candes and T. Tao, "Near-optimal signal recovery from random projections: Universal encoding strategies?" IEEE Transactions on Information Theory, vol. 52, no. 12, pp. 5406-5425, 2006.
DOI
|