Blind image deblurring using GLCM and negans obtuse mono proximate distance

References

• Cheng J, Gao Y, Guo B (2019. p. 155-162Image restoration using spatially variant hyper-Laplacian prior. Vol. 13Signal Image and Video Processing, Springer.
   Google Scholar
• Wang R, Tao D. Recent progress in image deblurring2014.
   Google Scholar
• Ma C, Zhang J, Xu S. Accurate blind deblurring using salientpatch-based prior for large-size images. 2018: 28077–28100
   Google Scholar
• Fergus R, Singh B, Hertzmann A. (2006). Removing camera shake from a single imagegraph. ACM transaction on graphics. 783–794.
   Google Scholar
• Joshi N, Szeliski R, Kriegman D. PSF estimation using sharp edge prediction. IEEE conference on computer vision and pattern recognition; 2008. 1–8.
   Google Scholar
• Levin A. Blind motion deblurring using image statistics. International conference on neural information processing systems; 2006. 841–848.
   Google Scholar
• Zeshan Alam M, Qian Q. Space-variant blur kernel estimation and image deblurring through kernel clustering. Elsevier; 2019. 41–55.
   Google Scholar
• Li J, Liu Z. Nonlocal tensor sparse representation and low-rank regularization for hyperspectral image compressive sensing reconstruction. Remote Sens. 2019;11(2):193–198.
   Google Scholar
• Ma L, Xu L, Zeng T. Low rank prior and total variation regularization for image deblurring. Vol. 70Springer; 2017. p. 1336–1357.
   Google Scholar
• Shen Z, Cheng L. Convex composite wavelet frame and total variation-based image deblurring using nonconvex penalty functions. J Electron Imag. 2017;26(5):053005–053015.
   Web of Science ®Google Scholar
• Chen Y, Jin J, Du H, et al. Four-directional fractional-order total variation regularization for image denoising. SPIE J Elect Imag. 2017;26(5).
   Google Scholar
• Yu S, Hanyu H, Jie S, et al. Blind image deblurring with edge enhancing total variation regularization. SPIE J Elect Imag. 2015;9522(7).
   Google Scholar
• Zhu J, Li K, Hao B. Restoration of remote sensing images based on nonconvex constrained high-order total variation regularization. J Appl Remote Sens. 2019;13(2):22006–22016.
   Web of Science ®Google Scholar
• Xiang J, Ye P, Wang L, et al.2019.
   Google Scholar
• Zhu S, Su Z, Li L, et al. Image deblurring based on nonlocal regularization with a non-convex sparsity constraint. SPIE J Electr Imag. 2018;8(8):867.
   Google Scholar
• Wang N, Shi W, Fan C, et al. An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria. J Adv Robot. 2018;15(3.
   Google Scholar
• Li J, Liu Z. (2019). Ensemble dictionary learning for single image deblurring via low-rank regularization, MDPI.
   Google Scholar
• Wu L, Yingpin C, Jin J, et al. Four-directional fractional-order total variation regularization for image denoising. SPIE J Elect Imag. 2017;26(5).
   Google Scholar
• Xiong N, Liu RW, Liang M, et al. (2017). Effective alternating direction optimization methods for sparsity-constrained blind image deblurring, MDPI.
   Google Scholar
• Wang H, Pan J-s, Liang S. Blind image deblurring using elastic-net based rank prior. 2017;10116:3–17.
   Google Scholar
• Wang N, Shi W, Shi W, et al. An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria. 2018;15(3).
   Google Scholar
• Dong F, Ma Q. Single image blind deblurring based on the fractional-order differential. computers and mathematics with applications. 2019;78(6):1960–1977. Elsevier.
   Web of Science ®Google Scholar
• Li T, Huai C. A new design in iterative image deblurring for improved robustness and performance. pattern recognition. 2019;90:134–146. Elsevier.
   PubMed Web of Science ®Google Scholar
• Yang C, Wang W, Feng X, et al. Weighted-l1-method-noise regularization for image deblurring. Signal processing. 2018;157:14–24.
   Web of Science ®Google Scholar
• Zhu J, Li K, Hao B. Hybrid variational model based on alternating direction method for image restoration. Springer; 2018.
   Google Scholar
• Graham L, Yitzhaky Y. Blind restoration of space-variant Gaussian-like blurred images using regional PSFs. Springer; 2018. 711–717.
   Google Scholar
• Feng L, Huang Q, Xu T, et al. Blind image deblurring based on trained dictionary and curvelet using sparse representation. SPIE digital library; 2015.
   Google Scholar
• Maik V, Rani Aishwarya SN, Paik J. Blind deconvolution using maximum a posteriori (MAP) estimation with directional edge based priori. 2018. 1129–1142. Elsevier.
   Google Scholar
• Zhang F, Lu W, Xue F. Natural image deblurring based on L0-regularization and kernel shape optimization. Springer; 2018.
   Google Scholar
• Shao W, Lin Y, Bao B, et al. Blind deblurring using discriminative image smoothing. Springer Verlag; 2018. 490–500.
   Google Scholar
• Chen1 M, Quan1 Y, Pang T, et al. Nonblind image deconvolution via leveraging model uncertainty in An untrained deep neural network. Springer Nature; 2021.
   Google Scholar
• Quan Y, Lin P, Xu Y, et al. Nonblind image deblurring via deep learning in complex field. IEEE Trans Neural Netw Learn Syst. 2022 Oct;33(10):5387–5400. doi:10.1109/TNNLS.2021.3070596 Epub 2022 Oct 5. PMID: 33852398.
   PubMed Web of Science ®Google Scholar
• Zhang K, Luo W, Zhong Y, et al. TIP2019 adversarial spatio-temporal learning for video deblurring.
   Google Scholar
• Zhang AK, Stenger B, Ma L, et al. (2020). Every moment matters: detail-aware networks to bring a blurry image.
   Google Scholar
• Ren W. Deep image deblurring: a survey. Int J Comp Vision. 2022;130(9):2103–2130. published:01 September 2022.
   Web of Science ®Google Scholar
• Singh K, Vishwakarma DK, Walia GS. Blind image deblurring via gradient orientation-based clustered coupled sparse dictionaries. Springer; 2019.
   Google Scholar
• Quan Y, et al. Data-driven multi-scale non-local wavelet frame construction and image recovery. J Sci Comput. 2015;63:307–329.
   Web of Science ®Google Scholar
• Zhao M, Zhang X, Shi Z, et al. Restoration of motion blurred images based on rich edge region extraction using a gray-level co-occurrence matrix. in IEEE Access. 2018;6:15332–15540.
   Web of Science ®Google Scholar
• Hu Z, Huang J, Yang M. Single image deblurring with adaptive dictionary learning. IEEE international conference on image processing; 2010.
   Google Scholar