Asymmetric Multi-Layer Compression: Decoupling Inter-Layer Coding Dependencies With a Learned Model

Asymmetric Multi-Layer Compression: Decoupling Inter-Layer Coding Dependencies With a Learned Model

Multi-layer compression is employed to achieve scalability by providing a base bitstream and additional enhancement layers to be used when extra bandwidth is available. In this work, we combine handcrafted and learned solutions, isolating the former in the base layer and using the latter in the enha...

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Bibliographic Details
Main Authors: Luiz Henrique Cancellier, Andre Beims Brascher, Ismael Seidel, Mateus Grellert, Luis A. da Silva Cruz, Jose Luis Guntzel
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
End-to-end optimization
image compression
learned compression
multi-layer compression
scalability
Online Access:https://ieeexplore.ieee.org/document/10891389/
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