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
Link To Document :
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