Smooth boundary point adaptive quantizer for on-chip image compression

Chen Shoushun, Amine Bermak, Wang Yan, Dominique Martinez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposed a smooth boundary point adaptive quantization scheme used for image compression. The proposed algorithm is first validated through Matlab simulation then implemented together with a CMOS image sensor. Simulation and experimental results show that compression figures corresponding to 0.6-0.8 bit-per-pixel are achieved while maintaining reasonable image quality.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Microelectronics, ICM
Pages214-217
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2006
Event2006 International Conference on Microelectronics, ICM 2006 - Dhahran, Saudi Arabia
Duration: 16 Dec 200619 Dec 2006

Publication series

NameProceedings of the International Conference on Microelectronics, ICM

Other

Other2006 International Conference on Microelectronics, ICM 2006
CountrySaudi Arabia
CityDhahran
Period16/12/0619/12/06

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Shoushun, C., Bermak, A., Yan, W., & Martinez, D. (2006). Smooth boundary point adaptive quantizer for on-chip image compression. In Proceedings of the International Conference on Microelectronics, ICM (pp. 214-217). [4243687] (Proceedings of the International Conference on Microelectronics, ICM). https://doi.org/10.1109/ICM.2006.373305