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Found 4 papers, 2 papers with code
Context-Based Trit-Plane Coding for Progressive Image Compression
Trit-plane coding enables deep progressive image compression, but it cannot use autoregressive context models.
Lightweight Image Enhancement Network for Mobile Devices Using Self-Feature Extraction and Dense Modulation
The proposed network include self-feature extraction module which produces modulation parameters from low-quality image itself, and provides them to modulate the features in the network.
DPICT: Deep Progressive Image Compression Using Trit-Planes
We propose the deep progressive image compression using trit-planes (DPICT) algorithm, which is the first learning-based codec supporting fine granular scalability (FGS).
High-Frequency Preserving Image Downscaler
In this paper, an unsupervised image downscaler that preserves the high frequency content of the original image based on an autoencoder is presented.
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