Image compression based on orthogonal balanced multiwavelets with symmetry/antisymmetry

Liping Zhang; Yi Zhao

doi:10.1117/12.2283113

8 March 2018 Image compression based on orthogonal balanced multiwavelets with symmetry/antisymmetry

Liping Zhang, Yi Zhao

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 106110Y (2018) https://doi.org/10.1117/12.2283113
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Multiwavelets have orthogonality, compacted support and symmetry simultaneously, these properties are very important for signal processing. However, most of Multiwavelets require related prefilters. An approach to construction of symmetry/antisymmetry orthogonal filter is proposed and its corresponding balanced filter is constructed, no any prefilter is necessary. Experimental results prove its performance is superior to DGHM and CL multiwavelets, higher than Bi9/7.

Citation Download Citation

Liping Zhang and Yi Zhao "Image compression based on orthogonal balanced multiwavelets with symmetry/antisymmetry", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 106110Y (8 March 2018); https://doi.org/10.1117/12.2283113

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