Block recursive least squares dictionary learning algorithm

Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Volumn , Issue , 2016, Pages 1961-1964

  Jiang, Qianru ^a   Li, Sheng ^a   Lu, Zeru ^a   Sun, Binbin ^a  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

block; Overcomplete dictionary; recursive least square; sparse representation

Indexed keywords

EID: 84983788930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2016.7531304     Document Type: Conference Paper

References (12)

1. J. C. Yang, J. Wright, T. S. Huang, Y. Ma, Image Super-Resolution Via Sparse Representation, IEEE Trans. on Image Processing, Vol. 19, No. 11, 2861-2873, 2010.
2. M. Elad, M. Aharon, Image denoising via sparse and redundant representations over learned dictionaries, IEEE Trans. Image Process, Vol. 15, No. 12, 3736-3745, 2006.
3. H. Hu, B. Wohlberg, R. Chartrand, Task-driven dictionary learning for inpainting, in:2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), IEEE, Florence, 2014.
4. S. F. Cotter, J. Adler, B. D. Rao, and K. Kreutz-Delgado, Forward sequential algorithms for best basis selection, Inst. Elect. Eng. Proc. Vis. Image Signal Process., vol. 146, no. 5, 235-244, 1999.
5. S. G. Mallat and Z. Zhang, Matching pursuit with timefrequency dictionaries, IEEE Trans. Signal Process., vol. 41, no. 12, 3397-3415, 1993.
6. Y. C. Pati, R. Rezaiifar, and P. S. Krishnaprasad, Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition, in Proc. Asilomar Conf. Signals Syst. Comput., 1993.
7. K. Engan, S. O. Aase, and J. H. Hakon-Husoy, Method of optimal directions for frame design, in Proc. of IEEE Int. Conf. Acoust., Speech, Signal Process., vol. 5, 2443-2446, 1999.
8. M. Aharon, M. Elad and A. Bruchstein, K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation, IEEE Trans. on Signal Processing, vol. 54, no. 11, 4311-4322, 2006.
9. H. Su, L. Tang, Y. Wu, D. Tretter, and J. Zhou, Spatially adaptive block-based super-resolution, IEEE Trans. on Image Processing, vol. 21, no. 3, 1031-1045, 2012.
10. J. Cho, D. B. Lee, S. C. Jeong and B. C. Song, Blockadaptive interpolation filter for sub-pixel motion compensation, in European Signal Processing Conference, 2011.
11. K. Skretting, K. Engan, Recursive least squares dictionary learning algorithm, IEEE Trans. Signal Process. vol. 58, no. 4, 2121-2130, 2010.
12. A. Ichigaya, M. Kurozumi, N. Hara, Y. Nishida and E. Nakasu, A method of estimating coding PSNR using quantized DCT coefficients, IEEE Trans. circuits and systems for video technology., vol. 16, no. 2, 251-259, 2006