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Ish: comprehensive review of image super-resolution metrics: classical and AI-based approaches
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He +1
MaqolaOchiq kirish20156 iqtibosABIBeyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen +2
MaqolaOchiq kirish20176 iqtibosABIPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszár +8
MaqolaOchiq kirish20176 iqtibosABIThe Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros +2
PreprintOchiq kirish20184 iqtibosABIRoot mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
Tianfeng Chai, Roland R. Draxler
MaqolaOchiq kirish20144 iqtibosABIAccurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
MaqolaOchiq kirish20164 iqtibosABIESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu +5
BobOchiq kirish20194 iqtibosABIImage Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study
Umme Sara, Morium Akter, Mohammad Shorif Uddin
MaqolaOchiq kirish20194 iqtibosABILearning a Deep Convolutional Network for Image Super-Resolution
Chao Dong, Chen Change Loy, Kaiming He +1
Bob20143 iqtibosABIMultiscale structural similarity for image quality assessment
Zhou Wang, Eero P. Simoncelli, Alan C. Bovik
Maqola20042 iqtibosABI