14 citations · 35 across the 15 of their papers we have counts for
4 papers · 1 filter
Context-Based Trit-Plane Coding for Progressive Image Compression
Seungmin Jeon, Kwang Pyo Choi, Youngo Park +1
Trit-plane coding enables deep progressive image compression, but it cannot use autoregressive context models. In this paper, we propose the context-based trit-plane coding (CTC) a…
RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors
Seungmin Jeon, Jae-Han Lee, Chang-Su Kim
DPICT is the first learning-based image codec supporting fine granular scalability. In this paper, we describe how to implement two key components of DPICT efficiently: trit-plane…
DPICT: Deep Progressive Image Compression Using Trit-Planes
Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi +2
We propose the deep progressive image compression using trit-planes (DPICT) algorithm, which is the first learning-based codec supporting fine granular scalability (FGS). First, we…
IceNet for Interactive Contrast Enhancement
Keunsoo Ko, Chang-Su Kim
A CNN-based interactive contrast enhancement algorithm, called IceNet, is proposed in this work, which enables a user to adjust image contrast easily according to his or her prefer…