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Работы, на которые ссылается эта работа
Работ: 37
Работа: comprehensive review of image super-resolution metrics: classical and AI-based approaches
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen +2
Статья2017Цитирований: 6ABIPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszár +8
Статья2017Цитирований: 6ABIImage Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He +1
Статья2015Цитирований: 5ABIThe Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros +2
Препринт2018Цитирований: 4ABIAccurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
Статья2016Цитирований: 4ABIESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu +5
Глава2019Цитирований: 4ABIImage Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study
Umme Sara, Morium Akter, Mohammad Shorif Uddin
Статья2019Цитирований: 4ABILearning a Deep Convolutional Network for Image Super-Resolution
Chao Dong, Chen Change Loy, Kaiming He +1
Глава2014Цитирований: 3ABIMultiscale structural similarity for image quality assessment
Zhou Wang, Eero P. Simoncelli, Alan C. Bovik
Статья2004Цитирований: 2ABI