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PDF] BlockCNN: A Deep Network for Artifact Removal and Image Compression
1504.06993] Compression Artifacts Reduction by a Deep Convolutional Network
JPEG Optimization Algorithms Review, by Fyodor Serzhenko
Figure 4 from A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting
Examples of JPEG artifacts at a high compression ratio. At a high
Nearly-lossless-to-lossy medical image compression by the optimized JPEGXT and JPEG algorithms through the anatomical regions of interest - ScienceDirect
Quality Metrics In Image Compression, by Suman Kunwar
JPEG block artifacts. The red dotted lines highlight the boundaries of
image quality - What are jpeg artifacts and what can be done about them? - Photography Stack Exchange
The Ultimate Guide to JPEG including JPEG Compression
S-Net: a scalable convolutional neural network for JPEG compression artifact reduction
Understanding Video Compression Artifacts - Component
Change the Quality of a JPG – Online JPG Tools
Architecture of the proposed network (baseline model).
Using Image Compression to Improve Computer Vision - Part 1