Title :
Improving image compression performance with balanced multiwavelets
Author :
Iyer, Lakshmi R. ; Bell, Amy E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
The multiwavelet transform - unlike the scalar wavelet transform - allows orthogonality and symmetry to coexist. For lossy image compression, the balancing order of the multiwavelet filter bank dictates energy compaction. But balancing alone does not guarantee good compression performance. Filter bank characteristics such as shift-variance and magnitude response also influence peak signal-to-noise ratio (PSNR) and perceived image quality. In this paper we analyze the effect of these multiwavelet properties on image compression. Our results indicate the best multiwavelet image compression performance reported to date.
Keywords :
channel bank filters; data compression; image coding; wavelet transforms; PSNR; balanced multiwavelets; balancing order; image compression performance; lossy image compression; magnitude response; multiwavelet filter bank; peak signal-to-noise ratio; perceived image quality; shift-variance; Equations; Filter bank; Image analysis; Image coding; Image quality; Interleaved codes; PSNR; Performance analysis; Transforms; Wavelet analysis;
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7147-X
DOI :
10.1109/ACSSC.2001.987029
