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A State Codebook Generation Algorithm of Side Match Vector Quantization

  • Yang Wang
  • Zhibin Pan
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 109)

Abstract

Side match vector quantization (SMVQ) algorithm is an effective low bit rate image compression algorithm which is very useful for data hiding techniques. By replacing the main codebook used in conventional vector quantization (VQ) with a high-quality state codebook (SC) which consists of less codewords, SMVQ algorithm can achieve both much lower bit rate than VQ and acceptable visual quality. However, the generation of the SC is of high complexity that makes the applications of SMVQ limited. To overcome this bottleneck, inequality-based fast search algorithm is used in this paper. Experimental results show that by utilizing the mean feature and the variance feature of a vector, a majority of non-closest codewords in the main codebook can be rejected and the generation of SC can be efficiently speeded up. In addition, the SC generated by using our proposed algorithm is exactly the same as the SC generated by conventional SMVQ.

Keywords

Side match vector quantization Fast state codebook generation Nonexhaustive search 

Notes

Acknowledgment

This work is supported in part by the Open Research Fund of Key Laboratory of Spectral Imaging Technology CAS (Grant No. LSIT201606D) and the Open Project Program of the National Laboratory of Pattern Recognition (NLPR) (Grant No. 201800030).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Xi’an Jiaotong UniversityXi’anPeople’s Republic of China
  2. 2.Key Laboratory of Spectral Imaging Technology CASXi’anPeople’s Republic of China

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