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Variable-rate learned image compression with integer-arithmetic-only inference

delete2025-11-04
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PRE
AI
F
Fan Ye
李
李莉 (Li Li)
刘
刘东 (Dong Liu) *
DOI:10.1016/j.jvcir.2025.104634delete
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Abstract

Abstract

En 中文
• We propose the first fully quantized variable-rate learned image compression model. • We design a calibration procedure for variable rates with different parameters. • We adopt reduced accumulator precision for efficient hardware implementation.
Keywords:
Integer-arithmetic inference
Learned image compression
Model quantization
Variable-rate

Journal

Journal of Visual Communication and Image Representation cover
Journal of Visual Communication and Image Representation
IF:
3.1
Papers:
547
Citations:
5.6K

Organization

No organization information available
Cited Papers

Cited Papers

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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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