2 citations · 3 across the 11 of their papers we have counts for
4 papers · 1 filter
Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model
Panqi Jia, A. Burakhan Koyuncu, Jue Mao +9
The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in th…
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization
Panqi Jia, Jue Mao, Esin Koyuncu +6
Currently, there is a high demand for neural network-based image compression codecs. These codecs employ non-linear transforms to create compact bit representations and facilitate…
SLIC: A Learned Image Codec Using Structure and Color
Srivatsa Prativadibhayankaram, Mahadev Prasad Panda, Thomas Richter +3
We propose the structure and color based learned image codec (SLIC) in which the task of compression is split into that of luminance and chrominance. The deep learning model is bui…
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction
Esin Koyuncu, Timofey Solovyev, Johannes Sauer +2
Learned image compression has a problem of non-bit-exact reconstruction due to different calculations of floating point arithmetic on different devices. This paper shows a method t…