TY - GEN
T1 - Architecture of a digital pixel sensor array with tile-based vector quantization image compression algorithm
AU - Zhang, Milin
AU - Bermak, Amine
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/44949189689
U2 - 10.1109/DICTA.2007.4426844
DO - 10.1109/DICTA.2007.4426844
M3 - Conference Paper published in a book
AN - SCOPUS:44949189689
SN - 0769530672
SN - 9780769530673
T3 - Proceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007
SP - 541
EP - 546
BT - Proceedings - Digital Image Computing Techniques and Applications
T2 - Australian Pattern Recognition Society (APRS)
Y2 - 3 December 2007 through 5 December 2007
ER -