The document summarizes a study that assessed the quality of images compressed with deep learning-based methods compared to traditional codecs like JPEG 2000 and BPG. Through a subjective experiment with 23 participants, the study found that compression with deep auto-encoders can achieve higher quality than JPEG 2000 and sometimes comparable quality to BPG. It also found that PSNR is not a reliable metric for evaluating deep learning-based compression methods, as their artifacts differ from DCT/wavelet codecs, and images compressed at low bitrates with deep methods appeared more natural.