AI RESEARCH
SEEC: Segmentation-Assisted Multi-Entropy Models for Learned Lossless Image Compression
arXiv CS.CV
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ArXi:2509.07704v2 Announce Type: replace Recently, learned image compression has attracted considerable attention due to its superior performance over traditional methods. However, most existing approaches employ a single entropy model to estimate the probability distribution of pixel values across the entire image, which limits their ability to capture the diverse statistical characteristics of different semantic regions. To overcome this limitation, we propose Segmentation-Assisted Multi-Entropy Models for Lossless Image Compression