Deep Image Compression with Iterative Non-Uniform Quantization

Jianrui Cai, Lei Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

17 Citations (Scopus)


Image compression, which aims to represent an image with less storage space, is a classical problem in image processing. Recently, by training an encoder-quantizer-decoder network, deep convolutional neural networks (CNNs) have achieved promising results in image compression. As a nondifferentiable part of the compression system, quantizer is hard to be updated during the network training. Most of existing deep image compression methods adopt a uniform rounding function as the quantizer, which however restricts the capability and flexibility of CNNs in compressing complex image structures. In this paper, we present an iterative nonuniform quantization scheme for deep image compression. More specifically, we alternatively optimize the quantizer and encoder-decoder. When the encoder-decoder is fixed, a non-uniform quantizer is optimized based on the distribution of representation features. The encoder-decoder network is then updated by fixing the quantizer. Extensive experiments demonstrate the superior PSNR index of the proposed method to existing deep compressors and JPEG2000.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781479970612
Publication statusPublished - 29 Aug 2018
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 7 Oct 201810 Oct 2018

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference25th IEEE International Conference on Image Processing, ICIP 2018


  • Deep Image Compression
  • Iterative Non-Uniform Quantization

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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