[1] 郑英杰.基于深度学习的磁共振图像超分辨率算法的研究[D].合肥:中国科学技术大学, 2020. [2] 刘秀,刘咏,张翠,等.遥感图像分辨率提升与数据处理[J].激光与光电子学进展, 2019, 56(8):081002. Liu X, Liu Y, Zhang C, et al. Resolution improvement and data processing of remote sensing images[J]. Laser&Optoelectronics Progress, 2019, 56(8):081002.(in Chinese) [3] 谭文,方淼,段峰,等.基于三次样条插值函数的3D激光图像去噪算法研究[J].中南大学学报(自然科学版), 2020, 51(9):2496-2503. Tan W, Fang M, Duan F, et al. Research on 3D laser image denoising algorithm based on three splines inter polation function[J]. Journal of Central South University (Science and Technology), 2020, 51(9):2496-2503.(in Chinese) [4] 赵蓝飞,席志红.基于三次样条插值的高动态范围成像方法[J].计算机辅助设计与图形学学报, 2015, 27(7):1278-1289. Zhao L F, Xi Z H. High dynamic range imaging based on cubic spline interpolation[J]. Journal of Computer-Aided Design&Computer Graphics, 2015, 27(7):1278-1289.(in Chinese) [5] Gopan K, Kumar G S. Video super resolution with generative adversarial network[C]//20182nd International Conference on Trends in Electronics and Informatics (ICOEI), 2018:1489-1493. [6] Blu T, Thévenaz P, Unser M. Linear interpolation revitalized[J]. IEEE Transactions on Image Processing, 2004, 13(5):710-719. [7] 杨丽娟,李利.基于双线性插值的内容感知图像缩放算法仿真[J].计算机仿真, 2019, 36(12):244-248. Yang L J, Li L. Simulation of content-aware image scaling algorithm based on bilinear interpolation[J]. Computer Simulation, 2019, 36(12):244-248.(in Chinese) [8] Keys R. Cubic convolution interpolation for digital image processing[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, 29:1153-1160. [9] Li X, Orchard M T. New edge-directed interpolation[J]. IEEE Transactions on Image Processing, 2001, 10(10):1521-1527. [10] Liu X L, Sun J K, Yan G X, et al. 32-2:improvement in directional cubic convolution image interpolation[J]. SID Symposium Digest of Technical Papers, 2020, 51(1):455-458. [11] Adamczyk K, Walczak A. Digital images interpolation with wavelet edge extractors[C]//3rd International Conference on Human System Interaction, 2010:399-405. [12] 郭昌.小波变换与HMT模型的图像插值算法[J].中山大学学报(自然科学版), 2012, 51(3):55-59. Guo C. Image interpolation algorithm based on wavelet transform and HMT model[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2012, 51(3):55-59.(in Chinese) [13] Temizel A, Vlachos T. Image resolution upscaling in the wavelet domain using directional cycle spinning[J]. Journal of Electronic Imaging, 2005, 14:040501. [14] 王康,杨瑞祺,杨依忠,等.基于二阶牛顿插值的图像自适应缩放设计及实现[J].计算机应用与软件, 2020, 37(9):126-132, 138. Wang K, Yang R Q, Yang Y Z, et al. Design and implementation of image adaptive scaling based on second order Newton interpolation[J]. Computer Applications and Software, 2020, 37(9):126-132, 138.(in Chinese) [15] Rasti P, Lüsi I, Demirel H, et al. Wavelet transform based new interpolation technique for satellite image resolution enhancement[C]//2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, 2014:185-188. [16] 杨云峰,苏志勋,胡金燕.一种保持边缘特征的图像插值方法[J].中国图象图形学报, 2005, 10(10):1248-1251. Yang Y F, Su Z X, Hu J Y. A new edge-holding algorithm of image interpolation[J]. Journal of Image and Graphics, 2005, 10(10):1248-1251.(in Chinese) [17] Mallat S, Hwang W L. Singularity detection and procession with wavelets[J]. IEEE Transaction on Information Theory 38, 617-643. [18] Beylkin G. On the representation of operators in bases of compactly supported wavelets[J]. SIAM Journal on Numerical Analysis, 1992, 29(6):1716-1740. |