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Author

Zhan Ma

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Review Oct 2026

End-to-End Learned Image Coding: From Rate-Distortion Optimization to Practical Deployment

End-to-end learned image coding (LIC) has achieved substantial improvements in rate--distortion (R--D) performance, yet practical deployment requires addressing a broader set of system-level constraints. This article provides a deployment-oriented review of LIC, with particular attention to the transition from high-per...

Ming Lu, Jun-Qi Shi, Zhan Ma · 0 citations
Preprint Aug 2026

Hadamard-Domain Model Quantization for Learned Image Coding

Hadamard-Transform-domain Quantization (HaTQ), which uses orthogonal Hadamard reparameterization before quantization to redistribute weight and activation responses in the original domain across channels, and is compatible with integer-only execution.

Jun-Qi Shi, Chongzhi Wang, Yiwen He et al. · 0 citations

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