Title :
Image compression using a new discrete multiwavelet transform and a new embedded vector quantization
Author :
Bao, Kai ; Xia, Xiang-Gen
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
fDate :
9/1/2000 12:00:00 AM
Abstract :
An embedded image compression scheme using the discrete multiwavelet transform (DMWT) is proposed. The proposed coding scheme is based on a new prefilter design for DMWT and a new embedded coding algorithm which combines scalar quantization and 2×2 vector quantization (VQ). A new algorithm for embedded VQ codebook generation is proposed, which is shown to have a better performance than the current schemes. The performance of the proposed compression scheme is comparable to the one of the SPIHT algorithm
Keywords :
discrete wavelet transforms; image coding; transform coding; vector quantisation; SPIHT algorithm; discrete multiwavelet transform; embedded VQ codebook generation; embedded coding algorithm; embedded image compression; embedded vector quantization; image coding; performance; prefilter design; scalar quantization; Algorithm design and analysis; Discrete transforms; Discrete wavelet transforms; Engineering profession; Filter bank; Frequency; Image coding; Partitioning algorithms; Streaming media; Vector quantization;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
