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Articles

Image Focus Measure Based on Polynomial Coefficients and Reduced Gerschgorin Circle Approach

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References

  • F. Osorio, R. Vallejos, W. Barraza, S. M. Ojeda, and M. A. Landi, “Statistical estimation of the structural similarity index for image quality assessment,” Signal Image Video Process, Vol. 16, no. 4, pp. 1035–42, 2022.
  • M. C. Catalbas, “Modified VDSR-based single image super-resolution using naturalness image quality evaluator,” Signal Image Video Process, Vol. 16, no. 3, pp. 661–8, 2022.
  • D. Varga, “No-reference image quality assessment with global statistical features,” J. Imaging, Vol. 7, no. 2, pp. 29, 2021.
  • C. Yan, T. Teng, Y. Liu, Y. Zhang, H. Wang, and X. Ji, “Precise no-reference image quality evaluation based on distortion identification,” ACM Tran. Multimedia Comput. Commun. Appl, Vol. 17, no. 3s, pp. 1–21, 2021.
  • R. Gao, Z. Huang, and S. Liu, “QL-IQA: Learning distance distribution from quality levels for blind image quality assessment,” Signal Process.: Image Commun, Vol. 101, pp. 116576, 2022.
  • S. Pertuz, D. Puig, and M. A. Garcia, “Analysis of focus measure operators for shape-from-focus,” Pattern Recognit, Vol. 46, no. 5, pp. 1415–32, 2013.
  • W. Liu, Z. Zheng, and Z. Wang, “Robust multi-focus image fusion using lazy random walks with multiscale focus measures,” Signal Process, Vol. 179, no. 1, pp. 107850, 2021.
  • C. Y. Wee, and R. Paramesran, “Measure of image sharpness using eigenvalues,” Inf. Sci, Vol. 177, no. 12, pp. 2533–52, 2007.
  • V. H. Gaidhane, Y. V. Hote, and V. Singh, “Image focus measure based on polynomial coefficients and spectral radius,” Signal Image Video Process, Vol. 9, no. 1, pp. 203–11, 2015.
  • S. B. Roh, S. K. Oh, W. Pedrycz, and K. Seo, “Development of autofocusing algorithm based on fuzzy transforms,” Fuzzy Sets Syst, Vol. 288, no. 1, pp. 129–44, 2016.
  • L. Jin, N. Ponomarenko, and K. Egiazarian, “Novel image quality metric based on similarity,” in Proc. 10th Int. Symp. Signal, Circuit Syst, 2011, pp. 1–4.
  • Z. Wang, A. C. Bovik, and H. R. Sheikh, “Structural similarity-based image quality assessment,” in Digital Video Image Quality Percep Cod. CRC Press, 2017, pp. 225–42.
  • H. R. Sheikh, and A. C. Bovik, “Image information and visual quality,” IEEE Trans. Image Process, Vol. 15, no. 2, pp. 430–44, 2006.
  • M. A. Saad, A. C. Bovik, and C. Charrier, “Blind image quality assessment: A natural scene statistics approach in the DCT domain,” IEEE Trans. Image Process, Vol. 21, no. 8, pp. 3339–52, 2012.
  • A. Mittal, A. K. Moorthy, and A. C. Bovik, “No-reference image quality assessment in the spatial domain,” IEEE Trans Image Process, Vol. 21, no. 12, pp. 4695–708, 2012.
  • S. Bosse, D. Maniry, K. R. Müller, T. Wiegand, and W. Samek, “Deep neural networks for no-reference and full-reference image quality assessment,” IEEE Trans. Imag. Process, Vol. 27, no. 1, pp. 206–19, 2017.
  • B. Yan, B. Bare, and W. Tan, “Naturalness-aware deep no-reference image quality assessment,” IEEE Trans. Multimedia, Vol. 21, no. 10, pp. 2603–15, 2019.
  • S. A. Golestaneh, S. Dadsetan, and K. M. Kitani, “No-reference image quality assessment via transformers, relative ranking, and self-consistency,” in Proc. IEEE/CVF Winter Conf. Appl. Comput. Vision, 2022, pp. 1220–30.
  • D. Han, Q. Liu, and W. Fan, “A new image classification method using CNN transfer learning and web data augmentation,” Expert Sys. Appl, Vol. 95, pp. 43–56, 2018.
  • I. Avcıbas, B. Sankur, and K. Sayood, “Statistical evaluation of image quality measures,” J. Electron. Imaging, Vol. 11, no. 2, pp. 206–23, 2002.
  • P. T. Yap, and P. Raveendran, “Focus measure based on Chebyshev moments,” Pro. IEE Vis. Image Signal Process, Vol. 151, no. 2, pp. 128–36, 2004.
  • J. Rajevenceltha, and V. H. Gaidhane, “A novel approach for image focus measure,” Signal Image Video Process, Vol. 15, no. 3, pp. 547–55, 2021.
  • J. Jeon, I. Yoon, J. Lee, and J. Paik, “Robust focus measure for unsupervised auto-focusing based on optimum discrete cosine transform coefficients,” Digest Tech. Papers - IEEE Int. Conf. Consumer Elect, 2011, pp. 193–4.
  • X. Y. Liu, R. L. Li, H. W. Zhao, T. H. Cheng, G. J. Cui, Q. C. Tan, and G. W. Meng, “Quality assessment of speckle patterns for digital image correlation by Shannon entropy,” Optik, Vol. 126, no. 23, pp. 4206–11, 2015.
  • W. Ji, J. Wu, M. Zhang, Z. Liu, G. Shi, and X. Xie, “Blind image quality assessment with joint entropy degradation,” IEEE Access, Vol. 7, no. 1, pp. 30925–36, 2019.
  • J. Rajevenceltha, and V. H. Gaidhane, “An efficient approach for no-reference image quality assessment based on statistical texture and structural features,” Eng. Sci. Technol. Int J, Vol. 30, pp. 101039, 2022.
  • V. H. Gaidhane, Y. V. Hote, and V. Singh, “An efficient approach for face recognition based on common eigenvalues,” Pattern Recognit, Vol. 47, no. 5, pp. 1869–79, 2014.
  • V. H. Gaidhane, and Y. V. Hote, “A new approach for stability analysis of discrete systems,” IETE Technical Review, Vol. 33, no. 5, pp. 466–71, 2016.
  • N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarin, M. Carli, and F. Battisti, “TID2008- a database for evaluation of full-reference visual quality assessment metric,” Adv. Mod. Radioelectron, Vol. 10, no. 1, pp. 30–45, 2009.
  • H. R. Sheikh, Z. Wang, L. Cormack, and A. C. Bonik. “Live image quality assessment data release 2,” [Online]. Available: http://live.ece.utexas.edu/research/quality
  • E. C. Larson, and D. M. Chandler. “Categorical image quality (CSIQ) database,” [Online]. Available: http://vision.okstate.edu/csiq
  • [Online]. Available: http://foulard.ece.cornell.edu/dmc27 /vsnr/vsnr.html

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