TY - GEN
T1 - The artificial bee colony algorithm for vector quantization in image compression
AU - Horng, Ming Huwi
AU - Jiang, Ting Wei
PY - 2011
Y1 - 2011
N2 - The vector quantization was a powerful technique in image compression. The widely used method such as the Linde-Buzo-Gray (LBG) algorithm always generated local optimal codebook. Recently, particle swarm optimization was adapted to obtain the near-global optimal codebook of vector quantization. The alterative method called the quantum particle swarm optimization was developed to improve the results of original PSO algorithm. The honey bee mating optimization was used to develop the algorithm for vector quantization. In this paper, we proposed a new method based on the artificial bee colony (ABC) algorithm to construct the codebook of vector quantization. The proposed method uses LBG method as the initial of ABC algorithm to develop the VQ algorithm. This method is called ABC-LBG algorithm. The ABC-LBG algorithm is compared with four algorithms described above. Experimental results showed that the ABC-LBG algorithm is more reliable and the reconstructed images get higher quality compared to other methods.
AB - The vector quantization was a powerful technique in image compression. The widely used method such as the Linde-Buzo-Gray (LBG) algorithm always generated local optimal codebook. Recently, particle swarm optimization was adapted to obtain the near-global optimal codebook of vector quantization. The alterative method called the quantum particle swarm optimization was developed to improve the results of original PSO algorithm. The honey bee mating optimization was used to develop the algorithm for vector quantization. In this paper, we proposed a new method based on the artificial bee colony (ABC) algorithm to construct the codebook of vector quantization. The proposed method uses LBG method as the initial of ABC algorithm to develop the VQ algorithm. This method is called ABC-LBG algorithm. The ABC-LBG algorithm is compared with four algorithms described above. Experimental results showed that the ABC-LBG algorithm is more reliable and the reconstructed images get higher quality compared to other methods.
UR - http://www.scopus.com/inward/record.url?scp=84858216850&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858216850&partnerID=8YFLogxK
U2 - 10.1109/ICBNMT.2011.6155949
DO - 10.1109/ICBNMT.2011.6155949
M3 - Conference contribution
AN - SCOPUS:84858216850
SN - 9781612841564
T3 - Proceedings - 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, IC-BNMT 2011
SP - 319
EP - 323
BT - Proceedings - 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, IC-BNMT 2011
T2 - 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, IC-BNMT 2011
Y2 - 28 October 2011 through 30 October 2011
ER -