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A novel perturbation-based degraded image super-resolution method for object recognition in intelligent transportation system Journal article
Zhang, Cheng, Zeng, Shan, Yang, Zhiguang, Chen, Yulong, Li, Hao, Tang, Yuanyan. A novel perturbation-based degraded image super-resolution method for object recognition in intelligent transportation system[J]. Neural Computing and Applications, 2024, 121836.
Authors:  Zhang, Cheng;  Zeng, Shan;  Yang, Zhiguang;  Chen, Yulong;  Li, Hao; et al.
Favorite | TC[Scopus]:0  IF:4.5/4.7 | Submit date：2025/01/13
Image Super-resolution Reconstruction  Perturbation Mechanism  Intelligent Transportation Systems  Traffic Sign Recognition  
FFT multichannel interpolation and application to image super-resolution Journal article
Cheng,Dong, Kou,Kit Ian. FFT multichannel interpolation and application to image super-resolution[J]. Signal Processing, 2019, 162, 21-34.
Authors:  Cheng,Dong;  Kou,Kit Ian
Favorite | TC[WOS]:15 TC[Scopus]:18  IF:3.4/3.8 | Submit date：2021/03/11
Error Analysis  Hilbert Transform  Image Super-resolution  Multichannel Interpolation  Sampling Theorem  Signal Reconstruction  
Super resolution reconstruction of brain MR image based on convolution sparse network Conference paper
Liu C., Wu X., Tang Y.Y., Yu X., Zhao W., Zhang L.. Super resolution reconstruction of brain MR image based on convolution sparse network[C], 2017, 275-278.
Authors:  Liu C.;  Wu X.;  Tang Y.Y.;  Yu X.;  Zhao W.; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2019/02/11
Convolution Neural Network  Magnetic Resonance Image  Super Resolution Reconstruction