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Information Engineering

No-reference objective image quality assessment using defocus blur estimation

, &
Pages 341-346 | Received 09 Jan 2015, Accepted 29 Mar 2017, Published online: 20 Apr 2017

References

  • Bondzulic, B., and V. Petrovic. 2011. “Edge-based Objective Evaluation of Image Quality.” In Proceedings of 18th IEEE International Conference on Image Processing, Brussels, Belgium, 11−14 September 2011: 3305−3308. New York: IEEE.
  • Brandao, T., and M. P. Queluz. 2008. “No-reference Image Quality Assessment Based on DCT Domain Statistics.” Signal Processing 88 (4): 822–833. doi:10.1016/j.sigpro.2007.09.017.
  • Chen, Y. S., and F. C. Meng. 2001. “Image Quality Measurement Based on Statistics of Activity Regions.” Journal of the Chinese Institute of Engineers 24 (3): 379–388. doi:10.1080/02533839.2001.9670635.
  • Ciancio, A., A. da Costa, E. da Silva, A. Said, R. Samadani, and P. Obrador. 2011. “No-reference Blur Assessment of Digital Pictures Based on Multifeature Classifiers.” IEEE Transactions on Image Processing 20 (1): 64–75. doi:10.1109/TIP.2010.2053549.
  • Ferzli, R., and L. J. Karam. 2009. “A No-reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB).” IEEE Transactions on Image Processing 18 (4): 717–728. doi:10.1109/TIP.2008.2011760.
  • Furht, B., and O. Marques. 2003. Handbook of Video Databases: Design and Applications. 1st ed. Boca Raton, FL: CRC Press.
  • Gabarda, S., and G. Cristobal. 2007. “Blind Image Quality Assessment through Anisotropy.” Journal of the Optical Society of America A 24 (12): B42–B51. doi:10.1364/JOSAA.24.000B42.
  • Gao, X., W. Lu, D. Tao, and X. Li. 2009. “Image Quality Assessment Based on Multiscale Geometric Analysis”.” IEEE Transactions on Image Processing 18 (7): 1409–1423. doi:10.1109/TIP.2009.2018014.
  • Li, C., and A. C. Bovik. 2010. “Content-partitioned Structural Similarity Index for Image Quality Assessment.” Signal Processing: Image Communication 25 (7): 517–526. doi:10.1016/j.image.2010.03.004.
  • Liang, L., S. Wang, J. Chen, S. Ma, D. Zhao, and W. Gao. 2010. “Noreference Perceptual Image Quality Metric Using Gradient Profiles for JPEG 2000.” Signal Processing: Image Communication 25 (7): 502–516. doi:10.1016/j.image.2010.01.007.
  • Lin, H. Y., and X. H. Chou. 2012. “Defocus Blur Parameters Identification by Histogram Matching.” Journal of the Optical Society of America A 29 (8): 1694–1706. doi:10.1364/JOSAA.29.001694.
  • Lin, H. Y., and X. H. Chou. 2013. “An Image Quality Assessment Technique Using Defocused Blur as Evaluation Metric.” In Proceedings of 8th International Conference on Computer Vision Theory and Applications (VISAPP 2013), Sants-Montjuïc, Barcelona, Spain, 21−24 February 2013: 101−104. Setúbal, Portugal: SciTePress.
  • Lin, H. Y., K. D. Gu, and C. H. Chang. 2012. “Photo-consistent Synthesis of Motion Blur and Depth-of-field Effects with a Real Camera Model.” Image Vision Computing 30 (9): 605–618. doi:10.1016/j.imavis.2012.07.004.
  • Moorthy, A. K., and A. C. Bovik. 2011. “Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality.” IEEE Transactions on Image Processing 20 (12): 3350–3364. doi:10.1109/TIP.2011.2147325.
  • Sheikh, H. R., and A. C. Bovik. 2006. “Image Information and Visual Quality.” IEEE Transactions on Image Processing 15 (2): 430–444. doi:10.1109/TIP.2005.859378.
  • Sheikh, H. R., A. C. Bovik, and L. Cormack. 2005. “No-reference Quality Assessment Using Nature Scene Statistics: JPEG 2000.” IEEE Transactions on Image Processing 14 (11): 1918–1927. doi:10.1109/TIP.2005.854492.
  • Sheikh, H., M. Sabir, and A. Bovik. 2006. “A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms.” IEEE Transactions on Image Processing 15 (11): 3440–3451. doi:10.1109/TIP.2006.881959.
  • Tang, H., N. Joshi, and A. Kapoor. 2011. “Learning a Blind Measure of Perceptual Image Quality.” In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CO, USA, 20−25 June 2011: 305−312. New York: IEEE.
  • Tao, D., X. Li, W. Lu, and X. Gao. 2009. “Reduced-Reference IQA in Contourlet Domain.” IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics 39 (6): 1623–1627. doi:10.1109/TSMCB.2009.2021951.
  • Wang, Z., A. Bovik, H. Sheikh, and E. Simoncelli. 2004. “Image Quality Assessment: From Error Visibility to Structural Similarity.” IEEE Transactions on Image Processing 13 (4): 600–612. doi:10.1109/TIP.2003.819861.
  • Xu, L., W. Lin, J. Li, X. Wang, Y. Yan, and Y. Fang. 2014. “Rank Learning on Training Set Selection and Image Quality Assessment.” In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Chengdu, China, 14−18 July 2014: 1−6. New York: IEEE.
  • Xue, W., L. Zhang, and X. Mou. 2013. “Learning without Human Scores for Blind Image Quality Assessment.” In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, 23−28 June 2013: 995−1002. New York: IEEE.
  • Ye, P., and D. Doermann. 2011. “No-reference Image Quality Assessment Based on Visual Codebook.” In Proceedings of 18th IEEE International Conference on Image Processing, Brussels, Belgium, 11−14 September 2011: 3089−3092. New York: IEEE.
  • Ye, P., and D. Doermann. 2012. “No-reference Image Quality Assessment Using Visual Codebooks.” IEEE Transactions on Image Processing 21 (7): 3129–3138. doi:10.1109/TIP.2012.2190086.

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