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Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model
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.
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization
Currently, there is a high demand for neural network-based image compression codecs.
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction
Learned image compression has a problem of non-bit-exact reconstruction due to different calculations of floating point arithmetic on different devices.
Device Interoperability for Learned Image Compression with Weights and Activations Quantization
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.
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