Directional filtering transform
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Resilient transmission of motion data in multiple description coding of video
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Direction-adaptive context modeling for sign coding in embedded wavelet image coder
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Two-dimensional geometric lifting
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Directional filtering transform for image/intra-frame compression
IEEE Transactions on Image Processing
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In this paper, a new weighted adaptive lifting (WAL)-based wavelet transform is presented. The proposed WAL approach is designed to solve the problems existing in the previous adaptive directional lifting (ADL) approach, such as mismatch between the predict and update steps, interpolation favoring only horizontal or vertical direction, and invariant interpolation filter coefficients for all images. The main contribution of the proposed approach consists of two parts: one is the improved weighted lifting, which maintains the consistency between the predict and update steps as far as possible and preserves the perfect reconstruction at the same time; another is the directional adaptive interpolation, which improves the orientation property of the interpolated image and adapts to statistical property of each image. Experimental results show that the proposed WAL-based wavelet transform for image coding outperforms the conventional lifting-based wavelet transform up to 3.06 dB in PSNR and significant improvement in subjective quality is also observed. Compared with the ADL-based wavelet transform, up to 1.22-dB improvement in PSNR is reported.