VPIC-based image compression technique for sensor network applications

Yan Wang, Amine Bermak, Farid Boussaid

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

Abstract

This paper examines the implementation considerations of visual pattern image coding (VPIC) algorithm for image compression on the focal plane. Several basic visual patterns that exploit the psychovisual redundancy are adopted in the VPIC coding. These patterns are essentially the same edge patterns developed in classified vector quantization (CVQ). The isometry operation is introduced to help eliminate the gradient angle and edge polarity calculation by exhaustive pattern search. By implementing the time-to-first spike (TFS) digital pixel together with the VPIC coding, the feature that TFS pixels are naturally sorted could be exploited to facilitate and simplify the block mean and gradient magnitude calculation. The reconstructed image quality in terms of Peak Signal-to-Noise Ratio (PSNR) for lena image at the 0.875 bpp could be around 29 dB. This technique is very suitable for Wireless Sensor Network (WSN) applications where image quality is not the primary concern.

Original languageEnglish
Title of host publicationProceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
Pages254-257
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event3rd Asia Symposium on Quality Electronic Design, ASQED 2011 - Kuala Lumpur, Malaysia
Duration: 19 Jul 201120 Jul 2011

Other

Other3rd Asia Symposium on Quality Electronic Design, ASQED 2011
CountryMalaysia
CityKuala Lumpur
Period19/7/1120/7/11

Fingerprint

Image compression
Image coding
Sensor networks
Image quality
Pixels
Vector quantization
Redundancy
Wireless sensor networks
Signal to noise ratio

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Wang, Y., Bermak, A., & Boussaid, F. (2011). VPIC-based image compression technique for sensor network applications. In Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011 (pp. 254-257). [6111755] https://doi.org/10.1109/ASQED.2011.6111755

VPIC-based image compression technique for sensor network applications. / Wang, Yan; Bermak, Amine; Boussaid, Farid.

Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011. 2011. p. 254-257 6111755.

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

Wang, Y, Bermak, A & Boussaid, F 2011, VPIC-based image compression technique for sensor network applications. in Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011., 6111755, pp. 254-257, 3rd Asia Symposium on Quality Electronic Design, ASQED 2011, Kuala Lumpur, Malaysia, 19/7/11. https://doi.org/10.1109/ASQED.2011.6111755
Wang Y, Bermak A, Boussaid F. VPIC-based image compression technique for sensor network applications. In Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011. 2011. p. 254-257. 6111755 https://doi.org/10.1109/ASQED.2011.6111755
Wang, Yan ; Bermak, Amine ; Boussaid, Farid. / VPIC-based image compression technique for sensor network applications. Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011. 2011. pp. 254-257
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