FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications

Yan Wang; Amine Bermak; Abdesselam Bouzerdoum; Brian Ng

doi:10.1109/DELTA.2008.69

FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications

Yan Wang^*, Amine Bermak, Abdesselam Bouzerdoum, Brian Ng

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.

Original language	English
Title of host publication	Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008
Pages	431-434
Number of pages	4
DOIs	https://doi.org/10.1109/DELTA.2008.69
Publication status	Published - 2008
Externally published	Yes
Event	4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 - Hong Kong, SAR, Hong Kong Duration: 23 Jan 2008 → 25 Jan 2008

Publication series

Name	Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008

Conference

Conference	4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008
Country/Territory	Hong Kong
City	Hong Kong, SAR
Period	23/01/08 → 25/01/08

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10.1109/DELTA.2008.69

Cite this

Wang, Y., Bermak, A., Bouzerdoum, A., & Ng, B. (2008). FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications. In Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 (pp. 431-434). Article 4459586 (Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008). https://doi.org/10.1109/DELTA.2008.69

Wang, Yan ; Bermak, Amine ; Bouzerdoum, Abdesselam et al. / FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications. Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008. 2008. pp. 431-434 (Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008).

@inproceedings{d011bf3d13014f30b209ef4d5733f7a9,

title = "FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications",

abstract = "This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.",

author = "Yan Wang and Amine Bermak and Abdesselam Bouzerdoum and Brian Ng",

year = "2008",

doi = "10.1109/DELTA.2008.69",

language = "English",

isbn = "0769531105",

series = "Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008",

pages = "431--434",

booktitle = "Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008",

note = "4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 ; Conference date: 23-01-2008 Through 25-01-2008",

}

Wang, Y, Bermak, A , Bouzerdoum, A & Ng, B 2008, FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications. in Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008., 4459586, Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008, pp. 431-434, 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008, Hong Kong, SAR, Hong Kong, 23/01/08. https://doi.org/10.1109/DELTA.2008.69

FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications. / Wang, Yan; Bermak, Amine ; Bouzerdoum, Abdesselam et al.
Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008. 2008. p. 431-434 4459586 (Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.

AB - This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.

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M3 - Conference contribution

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SN - 9780769531106

T3 - Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008

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BT - Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008

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Wang Y, Bermak A , Bouzerdoum A, Ng B. FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications. In Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008. 2008. p. 431-434. 4459586. (Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008). doi: 10.1109/DELTA.2008.69

FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications

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