Image compression using a new discrete multiwavelet transform and a new embedded vector quantization

2000 ◽  
Vol 10 (6) ◽  
pp. 833-842 ◽  
Author(s):  
Kai Bao ◽  
Xiang-Gen Xia
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Multiwavelet Transform ◽  
Discrete Multiwavelet Transform

Image Compression Using Vector Quantization with Variable Block Size Division

2010 ◽  
Vol 130 (8) ◽  
pp. 1431-1439 ◽  
Author(s):  
Hiroki Matsumoto ◽  
Fumito Kichikawa ◽  
Kazuya Sasazaki ◽  
Junji Maeda ◽  
Yukinori Suzuki
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Block Size ◽  
Variable Block

Generalized Discrete Multiwavelet Transform With Embedded Orthogonal Symmetric Prefilter Bank

2007 ◽  
Vol 55 (12) ◽  
pp. 5619-5629 ◽  
Author(s):  
Tai-Chiu Hsung ◽  
D.P.-K. Lun ◽  
Yu-Hing Shum ◽  
K.C. Ho
Keyword(s):  
Multiwavelet Transform ◽  
Discrete Multiwavelet Transform

scholarly journals Banks of filters for implementation of DMWT of an image

2019 ◽  
Vol 70 (6) ◽  
pp. 429-442
Author(s):  
Ondrej Kováč ◽  
Ján Mihalík
Keyword(s):  
Filter Banks ◽  
Multiwavelet Transform ◽  
Discrete Multiwavelet Transform ◽  
Is Design

Abstract We describee some possible options for implementation of the Discrete multiwavelet transform (DMWT) of an image by using filter banks. DMWT can be implemented by two channel bank of vector filters which are made by cross-connected scalar filters. The properties of DGHM, CL, BiHermite and SA4 multiwavelets are here analyzed, and compression analysis for output normalization of DMWT is performed. A procedure is design of equivalent replacing of 2 channel multifilters bank by 4 channel bank of single scalar filters. Finally, we deal with a possible reduction and combinations of subbands and suggest their use.

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