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[해외논문] Image Interpolation with Regional Gradient Estimation 원문보기

Applied sciences, v.12 no.15, 2022년, pp.7359 -   

Jia, Zuhang (School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, China) ,  Huang, Qingjiu (School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, China)

Abstract AI-Helper 아이콘AI-Helper

This paper proposes an image interpolation method with regional gradient estimation (GEI) to solve the problem of the nonlinear interpolation method not sufficiently considering non-edge pixels. First, the approach presented in this paper expanded on the edge diffusion idea used in CGI and proposed ...

참고문헌 (31)

  1. Karwowska Using Super-Resolution Methods for Small Satellite Imagery: A Systematic Review IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2022 10.1109/JSTARS.2022.3167646 15 3292 

  2. 10.1109/ICITEE49829.2020.9271785 Prakoso, W.S., Soesanti, I., and Wibirama, S. (2020, January 6-8). Enhancement Methods of Brain MRI Images: A Review. Proceedings of the 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia. 

  3. 10.1109/ICICICT46008.2019.8993258 Singh, A., and Singh, J. (2019, January 5-6). Review and Comparative Analysis of Various Image Interpolation Techniques. Proceedings of the 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, India. 

  4. Jin Pedestrian detection with super-resolution reconstruction for low-quality image Pattern Recognit. 2021 10.1016/j.patcog.2021.107846 115 107846 

  5. Yang Deep Learning for Single Image Super-Resolution: A Brief Review IEEE Trans. Multimed. 2019 10.1109/TMM.2019.2919431 21 3106 

  6. 10.1109/INDICON52576.2021.9691521 Barman, T., Deka, B., and Prasad, A.V.V. (2021, January 19-21). GPU-Accelerated Adaptive Dictionary Learning and Sparse Representations for Multispectral Image Super-Resolution. Proceedings of the 2021 IEEE 18th India Council International Conference (INDICON), Guwahati, India. 

  7. Dong Enhanced Non-Local Total Variation Model and Multi-Directional Feature Prediction Prior for Single Image Super-Resolution IEEE Trans. Image Process. 2019 10.1109/TIP.2019.2902794 28 3778 

  8. 10.1109/ICIP.2016.7532593 Shi, J., and Qi, C. (2016, January 25-28). Low-rank sparse representation or single image super-resolution via self-similarity learning. Proceedings of the 23rd IEEE International Conference on Image Processing, Settle, WA, USA. 

  9. Li A self-learning image super-resolution method via sparse representation and non-local similarity Neurocomputing 2016 10.1016/j.neucom.2015.07.139 184 196 

  10. Deng Similarity constrains-based structured output regression machine: An approach to image super-resolution IEEE Trans. Neural Netw. Learn. Syst. 2016 10.1109/TNNLS.2015.2468069 27 2472 

  11. Wang Single image super-resolution using Gaussian process regression with dictionary-based sampling and Student-t likelihood IEEE Trans. Image Process. 2017 26 3556 

  12. 10.1109/FADS.2017.8253185 Mei, D.F., Zhu, X., Wang, X.X., and Ai, N. (2017, January 23-25). Image super-resolution based on structural dissimilarity learning dictionary. Proceedings of the 2017 International Conference on the Frontiers and Advances in Data Science (FADS), Xi’an, China. 

  13. 10.3390/rs11161880 Sánchez-García, E., Balaguer-Beser, Á., Almonacid-Caballer, J., and Pardo-Pascual, J.E. (2019). A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level. Remote Sens., 11. 

  14. Zeng, X.Y., Lu, H.C., and Zhang, C.Y. (2020, January 4). Super-Resolution Method: Based on Wavelet and Interpolation. Proceedings of the 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), Shanghai, China. 

  15. Liu Differential filtering method for robot welding seam image enhancement J. Phys. Conf. Ser. 2020 10.1088/1742-6596/1607/1/012045 1607 012045 

  16. 10.1109/IAEAC47372.2019.8997600 Li, Y.M., Qi, F.F., and Wan, Y. (2020, January 20-22). Improvements on Bicubic Image Interpolation. Proceedings of the 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chengdu, China. 

  17. 10.1109/ICCSCE47578.2019.9068535 Hossain, M.S., Jalab, H., Kahtan, H., and Abdullah, A. (December, January 29). Image Resolution Enhancement Using Improved Edge Directed Interpolation Method. Proceedings of the 2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia. 

  18. Zhe Contrast-Guided Image Interpolation IEEE Trans. Image Process. 2013 10.1109/TIP.2013.2271849 22 4271 

  19. Zhe Convolutional edge diffusion for fast contrast-guided image interpolation IEEE Signal Process. Lett. 2016 10.1109/LSP.2016.2571738 23 1260 

  20. Lu Image Interpolation with Predicted Gradients Acta Autom. Sin. 2018 44 1072 

  21. Zhong Predictor-corrector image interpolation J. Vis. Commun. Image Represent. 2019 10.1016/j.jvcir.2019.03.018 61 50 

  22. Chao Adaptive Directional Cubic Convolution for Integrated Circuit Chip Defect Image Interpolation Int. J. Circuits Syst. Signal Process. 2021 10.46300/9106.2021.15.117 15 1084 

  23. Gupta A new hybrid image enlargement method using singular value decomposition and cubic spline interpolation Multimed. Tools Appl. 2022 10.1007/s11042-021-11767-2 81 4241 

  24. 10.1109/BDICN55575.2022.00137 Ge, R. (2022, January 20-22). A Design of Optimized Colour Image Interpolation Method Based on Edge Gradient. Proceedings of the 2022 International Conference on Big Data, Information and Computer Network (BDICN), Sanya, China. 

  25. Zhao Image enhancement of robot welding seam based on wavelet transform and contrast guidance Int. J. Innov. Comput. Inf. Control 2022 18 149 

  26. 10.1109/ICCE.2016.7430573 Lama, R.K., Shin, S., and Kang, M. (2016, January 7-11). Interpolation Using Wavelet Transform and Discrete Cosine Transform for High-Resolution Display. Proceedings of the 2016 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA. 

  27. 10.1109/IAEAC50856.2021.9390748 Cao, M., Liu, Z., Huang, X., and Shen, Z. (2021, January 12-14). Research for Face Image Super-Resolution Reconstruction Based on Wavelet Transform and SRGAN. Proceedings of the 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China. 

  28. 10.1109/IAEAC50856.2021.9390624 Ye, H., Su, K., and Huang, S. (2021, January 12-14). Image Enhancement Method Based on Bilinear Interpolating and Wavelet Transform. Proceedings of the 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China. 

  29. 10.1109/IC2IE53219.2021.9649198 Sabilla, I.A., Meirisdiana, M., Sunaryono, D., and Husni, M. (2021, January 14-15). Best Ratio Size of Image in Steganography Using Portable Document Format with Evaluation RMSE, PSNR, and SSIM. Proceedings of the 2021 4th International Conference of Computer and Informatics Engineering (IC2IE), Depok, Indonesia. 

  30. Wang Region-based Bicubic Image Interpolation Method Comput. Eng. 2010 36 216 

  31. 10.1109/WCICA.2016.7578241 Chen, L.M., Jiang, F., Zhang, H.F., Wu, S.B., Yu, S.D., and Xie, Y.Q. (2016, January 12-15). Edge preservation ratio for image sharpness assessment. Proceedings of the 2016 12th World Congress on Intelligent Control and Automation (WCICA), Guilin, China. 

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