Title :
Adaptive Wavelet Transform for Image Compression via Directional Quincunx Lifting
Author :
Chang, Chuo-Ling ; Maleki, Arian ; Girod, Bernd
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA
fDate :
Oct. 30 2005-Nov. 2 2005
Abstract :
We propose a novel adaptive wavelet transform that exploits local image properties for image compression. It combines wavelet filters adaptive to edge orientations with quincunx subsampling to form a 2-D nonseparable transform through lifting. Filter selections are efficiently represented. Significant improvement on both subjective and objective quality over the conventional separable transform is observed. In addition, unlike previous adaptive transforms, the symmetry in quincunx subsampling enables even quality for image features along different directions and the compression performance is insensitive to image orientation
Keywords :
adaptive filters; data compression; image coding; transform coding; wavelet transforms; 2-D nonseparable transform; adaptive wavelet transform; directional quincunx lifting; image compression; image orientation; image quality; local image properties; quincunx subsampling; wavelet filters; Adaptive filters; Decoding; Discrete transforms; Discrete wavelet transforms; Filtering; Helium; Image coding; Information systems; Quantization; Wavelet transforms;
Conference_Titel :
Multimedia Signal Processing, 2005 IEEE 7th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9288-4
Electronic_ISBN :
0-7803-9289-2
DOI :
10.1109/MMSP.2005.248564
