@inproceedings{da31be21022e4d20a58dc248d40e290f,
title = "Direction alignment algorithm for direction-adaptive discrete wavelet transform",
abstract = "2-D discrete wavelet transform (2-D DWT) represents non-vertical or non-horizontal edges inefficiently. Direction-adaptive discrete wavelet transform (DA-DWT) solves this problem by filtering along the directions of textures. DA-DWT partitions images into many blocks and finds the most suitable direction of each block. The block partition and direction information need to be transmitted as side information. A conventional DA-DWT often produces inconsistent directions of neighboring blocks and thus results in large amount of side information. In this paper, we propose a bottom-up direction alignment algorithm to align the block directions in local areas. Our algorithm can reduce 50% or more in side-information bits at the cost of negligible prediction error increase.",
keywords = "direction alignment, Direction-adaptive discrete wavelet transform, image coding",
author = "Hung, {Chao Hsiung} and Hsueh-Ming Hang",
year = "2012",
month = oct,
day = "23",
doi = "10.1109/ICASSP.2012.6287998",
language = "English",
isbn = "9781467300469",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "773--776",
booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings",
note = "null ; Conference date: 25-03-2012 Through 30-03-2012",
}