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New framework enables continuous bitrate control for scalable image coding

Researchers have developed a novel training-free framework for scalable image coding that allows for continuous bitrate control. This method adjusts quantization steps based on predicted scale values, ensuring that high-scale information is preserved in both machine and enhancement layers. Experiments confirm the framework's effectiveness and underscore the significance of strategic bitrate allocation between these layers. AI

RANK_REASON The cluster contains a research paper detailing a new technical approach. [lever_c_demoted from research: ic=1 ai=0.4]

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  1. arXiv cs.CV TIER_1 English(EN) · Yui Tatsumi, Hiroshi Watanabe ·

    Training-Free Continuous Bitrate Control for Scalable Image Coding for Humans and Machines

    arXiv:2606.00158v1 Announce Type: cross Abstract: Continuous variable-rate compression is highly demanded in real-world applications, but remains underexplored in scalable image coding for humans and machines. In this paper, we propose a training-free variable-rate scalable image…