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We compared with the current widely used method Bicubic ESRGAN and SRGAN, our method has better reconstruction quality and higher PSNR/SSIM score. We used DnCNN to denoise the CMR image, and then using the improved SRGAN to perform super-resolution reconstruction of the denoised image, we can solve the problem of high noise and artifacts that cause the cardiac image to be reconstructed incorrectly during super-resolution. We used DnCNN to denoise the CMR image, and then using the improved SRGAN to perform super-resolution reconstruction