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arXiv · 1805.10887

Block-optimized Variable Bit Rate Neural Image Compression

Caglar Aytekin·Xingyang Ni·Francesco Cricri·Jani Lainema·Emre Aksu·Miska Hannuksela
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Abstract

In this work, we propose an end-to-end block-based auto-encoder system for image compression. We introduce novel contributions to neural-network based image compression, mainly in achieving binarization simulation, variable bit rates with multiple networks, entropy-friendly representations, inference-stage code optimization and performance-improving normalization layers in the auto-encoder. We evaluate and show the incremental performance increase of each of our contributions.

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Caglar Aytekin, Xingyang Ni, Francesco Cricri, Jani Lainema, Emre Aksu, Miska Hannuksela. 2018-05-28. Block-optimized Variable Bit Rate Neural Image Compression. https://arxiv.org/abs/1805.10887

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