Architecture of a digital pixel sensor array with tile-based vector quantization image compression algorithm

Milin Zhang, Amine Bermak

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

1 Citation (Scopus)

Abstract

In this paper, an improved tile-based vector quantization (VQ) algorithm used for image compression application integrated along with a digital pixel sensor (DPS) array is proposed. The proposed technique is based on a tile-based compression of the original image, enabling an easy implementation of vector quantization. Furthermore, tile-based design reduces the accumulation of error inherent in DPCM type of processing. Simulation results show that the compression rate, which is measured by bit-per-pixel (BPP), can be as low as 0.28BPP, with PSNR result around 20dB.

Original languageEnglish
Title of host publicationProceedings - Digital Image Computing Techniques and Applications
Subtitle of host publication9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007
Pages541-546
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2007
EventAustralian Pattern Recognition Society (APRS) - Glenelg, SA, Australia
Duration: 3 Dec 20075 Dec 2007

Publication series

NameProceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007

Other

OtherAustralian Pattern Recognition Society (APRS)
CountryAustralia
CityGlenelg, SA
Period3/12/075/12/07

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Human-Computer Interaction

Cite this

Zhang, M., & Bermak, A. (2007). Architecture of a digital pixel sensor array with tile-based vector quantization image compression algorithm. In Proceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007 (pp. 541-546). [4426844] (Proceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007). https://doi.org/10.1109/DICTA.2007.4426844