DocumentCode
3091233
Title
FPGA Implementation of a Predictive Vector Quantization Image Compression Algorithm for Image Sensor Applications
Author
Wang, Yan ; Bermak, Amine ; Bouzerdoum, Abdesselam ; Ng, Brian
Author_Institution
Hong Kong Univ. of Sci. & Technol., Hong Kong
fYear
2008
fDate
23-25 Jan. 2008
Firstpage
431
Lastpage
434
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.
Keywords
differential pulse code modulation; field programmable gate arrays; image coding; image sensors; vector quantisation; FPGA implementation; block based compression algorithm; differential pulse code modulation; image compression algorithm; image quality; image sensor; integrated data compression processor; predictive vector quantization; Compression algorithms; Field programmable gate arrays; Image coding; Image quality; Image sensors; Modulation coding; Pulse compression methods; Pulse modulation; Robustness; Vector quantization; FPGA; Predictive Vector Quantization; Vector Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Design, Test and Applications, 2008. DELTA 2008. 4th IEEE International Symposium on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3110-6
Type
conf
DOI
10.1109/DELTA.2008.69
Filename
4459586
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