[1] GUAN T K, SHEN W, YANG X et al. Self-supervised character-to-character distillation for text recognition[C], 1, 19473-19484(2023).

[2] LI M H, LV T C, CHEN J Y et al. TrOCR： transformer-based optical character recognition with pre-trained models[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 37, 13094-13102(2023).

[3] DONG C, LOY C C, HE K M et al[M]. Learning a Deep Convolutional Network for Image Super-resolution, 184-199(2014).

[4] NIU B, WEN W L, REN W Q et al[M]. Single image Super-resolution Via a Holistic Attention Network, 191-207(2020).

[5] 寇旗旗, 李超, 程德强. 基于注意力和宽激活密集残差网络的图像超分辨率重建[J]. 光学 精密工程, 31, 2273-2286(2023).

     KOU Q Q, LI CH, CHENG D Q et al. Image super-resolution reconstruction based on attention and wide-activated dense residual network[J]. Opt. Precision Eng., 31, 2273-2286(2023).

[6] 周颖, 裴盛虎, 陈海永. 基于多尺度自适应注意力的图像超分辨率网络[J]. 光学 精密工程, 32, 843-856(2024).

     ZHOU Y, PEI SH H, CHEN H Y et al. Image super-resolution network based on multi-scale adaptive attention[J]. Opt. Precision Eng., 32, 843-856(2024).

[7] XIA ZH P, CHEN H, ZHANG Y N et al. Lightweight video super-resolution based on hybrid spatio-temporal convolution[J]. Opt. Precision Eng., 32, 2564-2576(2024).

     夏振平, 陈豪, 张宇宁. 基于混合时空卷积的轻量级视频超分辨率重建[J]. 光学 精密工程, 32, 2564-2576(2024).

[8] ZHU S P, ZHAO Z Y, FANG P F et al. Improving scene text image super-resolution via dual prior modulation network[C], 3843-3851(2023).

[9] CHEN X Y, WANG X T, ZHOU J T et al. Activating more pixels in image super-resolution transformer[C], 17, 22367-22377(2023).

[10] WANG W J, XIE E Z, SUN P Z et al. TextSR： content-aware text super-resolution guided by recognition[webpage], 1909-07113. https：//arxiv.org/abs/1909.07113v4

[11] WANG Y Y, SU F, QIAN Y. Text-attentional conditional generative adversarial network for super-resolution of text images[C], 8, 1024-1029(2019).

[12] MOU Y Q, TAN L, YANG H et al[M]. PlugNet： Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-resolution Unit, 158-174(2020).

[13] WANG W J, XIE E Z, LIU X B et al. Scene text image super-resolution in the wild[C], 650-666(2020).

[14] MA J Q, GUO S, ZHANG L. Text prior guided scene text image super-resolution[J]. IEEE Transactions on Image Processing(2023).

[15] MA J Q, LIANG Z T, ZHANG L. A text attention network for spatial deformation robust scene text image super-resolution[C], 18, 5911-5920(2022).

[16] YANG H, ZHOU H B. Degradation prior guided scene text image super-resolution[C], 2, 170-175(2022).

[17] MA J Z, JIN L W, ZHANG J X et al. TextSRNet： scene text super-resolution based on contour prior and atrous convolution[C], 21, 3252-3258(2022).

[18] FU X Y, CH'NG E, AICKELIN U et al. CRNN： a joint neural network for redundancy detection[C], 29, 1-8(2017).

[19] FANG S C, XIE H T, WANG Y X et al. Read like humans： autonomous， bidirectional and iterative language modeling for scene text recognition[C], 20, 7098-7107(2021).

[20] LIU Z, LIN Y T, CAO Y et al. Swin transformer： hierarchical vision transformer using shifted windows[C], 10, 10012-10022(2021).

[21] LI J F, WEN Y, HE L H. SCConv： spatial and channel reconstruction convolution for feature redundancy[C], 17, 6153-6162(2023).

[22] SHI B G, YANG M K, WANG X G et al. ASTER： an attentional scene text recognizer with flexible rectification[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, 2035-2048(2019).

[23] LUO C J, JIN L W, SUN Z H. MORAN： a multi-object rectified attention network for scene text recognition[J]. Pattern Recognition, 90, 109-118(2019).

[24] ZHAO C R, FENG S Y, ZHAO B N et al. Scene text image super-resolution via parallelly contextual attention network[C], 2908-2917(2021).

[25] CHEN J Y, LI B, XUE X Y. Scene text telescope： text-focused scene image super-resolution[C], 20, 12026-12035(2021).

[26] CHEN J Y, YU H Y, MA J Q et al. Text gestalt： stroke-aware scene text image super-resolution[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 36, 285-293(2022).

[27] HONDA K, KUREMATSU M, FUJITA H et al. Multi-task learning for scene text image super-resolution with multiple transformers[J]. Electronics, 11, 3813(2022).