no code implementations • 27 Feb 2024 • Panqi Jia, A. Burakhan Koyuncu, Jue Mao, Ze Cui, Yi Ma, Tiansheng Guo, Timofey Solovyev, Alexander Karabutov, Yin Zhao, Jing Wang, Elena Alshina, Andre Kaup
To generate reconstructed images with the desired bits per pixel and assess the BD-rate performance of both the JPEG-AI verification model and VVC intra, bit rate matching is employed.
no code implementations • 27 Feb 2024 • Panqi Jia, Jue Mao, Esin Koyuncu, A. Burakhan Koyuncu, Timofey Solovyev, Alexander Karabutov, Yin Zhao, Elena Alshina, Andre Kaup
Currently, there is a high demand for neural network-based image compression codecs.
no code implementations • 18 Dec 2023 • Esin Koyuncu, Timofey Solovyev, Johannes Sauer, Elena Alshina, André Kaup
Learned image compression has a problem of non-bit-exact reconstruction due to different calculations of floating point arithmetic on different devices.
no code implementations • 2 Dec 2022 • Esin Koyuncu, Timofey Solovyev, Elena Alshina, André Kaup
Learning-based image compression has improved to a level where it can outperform traditional image codecs such as HEVC and VVC in terms of coding performance.