References
- A. Chakrabarti, T. Zickler, and W. T. Freeman, "Analyzing spatially-varying blur," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2010, pp. 2512-2519.
- J. Shi, L. Xu, and J. Jia, "Just noticeable defocus blur detection and estimation," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2015, pp. 657-665.
- J. Shi, L. Xu, and J. Jia, "Discriminative blur detection features," in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2014, pp. 2965-2972.
- S. Zhuo and T. Sim, "Defocus map estimation from a single image," Pattern Recognit., vol. 44, no. 9, pp. 1852-1858, Sep. 2011. https://doi.org/10.1016/j.patcog.2011.03.009
- S. El-Shekheby, R. F. Abdel-Kader and F. W. Zaki, "Spatially varying blur estimation from a single image," IET Image Process., vol. 13, no. 5, pp. 746-753, Apr. 2019. https://doi.org/10.1049/iet-ipr.2018.5663
- T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, Jul. 2002. https://doi.org/10.1109/TPAMI.2002.1017623
- S. Beucher and F. Meyer, "The morphological approach to segmentation: The watershed transform," in Mathematical Morphology in Image Processing., E. R. Dougherty, Ed. New York: Marcel Dekker, vol. 12, pp. 433-481, 1993.
- X. Yi and M. Eramian, "LBP-based segmentation of defocus blur," IEEE Trans. Image Process., vol. 25, no. 4, pp. 1626-1638, Apr. 2016. https://doi.org/10.1109/TIP.2016.2528042
- Chanho Jeong and Wonjun Kim, "High-speed blur detection based on the textural features," in Proc. Workshop on Image Processing Image Understanding, Feb. 2019.
- J. Kannala and E. Rahtu, "BSIF: Binarized statistical image features," in Proc. IEEE Int. Conf. Pattern Recognit., Nov. 2012, pp. 1363-1366.
- R. Huang, M. Fan, Y. Xing and Y. Zou, "Image blur classification and unintentional blur removal," IEEE Access, vol. 7, pp. 106327-106335, Jul. 2019. https://doi.org/10.1109/ACCESS.2019.2932124
- X. Wang, S. Zhang, X. Liang, H. Zhou, J. Zheng and M. Sun, "Accurate and Fast Blur Detection Using a Pyramid M-Shaped Deep Neural Network," IEEE Access, vol. 7, pp. 86611-86624, Jul. 2019. https://doi.org/10.1109/ACCESS.2019.2926747
- C. Pierre, "Independent Component Analysis: a new concept?," Signal Process., vol 36, no. 3, pp. 287-314, Mar. 1994. https://doi.org/10.1016/0165-1684(94)90029-9
- R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk, "SLIC superpixels compared to state-of-the-art superpixel methods," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 11, pp. 2274-2282, Nov. 2012. https://doi.org/10.1109/TPAMI.2012.120
- C. Tang, J. Wu, Y. Hou, P. Wang, and W. Li, "A spectral and spatial approach of coarse-to-fine blurred image region detection," IEEE Signal Process. Lett., vol. 23, no. 11, pp. 1652-1656, Nov. 2016. https://doi.org/10.1109/LSP.2016.2611608
- C. Tang, C. Hou, and Z. Song, "Defocus map estimation from a single image via spectrum contrast," Opt. Lett., vol. 38, no. 10, pp. 1706-1708, May 2013. https://doi.org/10.1364/OL.38.001706