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Adapting Learned Image Codecs to Screen Content via Adjustable Transformations
As learned image codecs (LICs) become more prevalent, their low coding efficiency for out-of-distribution data becomes a bottleneck for some applications.
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.
Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression
Entropy estimation is essential for the performance of learned image compression.
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression
Entropy modeling is a key component for high-performance image compression algorithms.
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