@inproceedings{5b769f23e10e4630900e33b926f18518,
title = "Bases for low complexity matching pursuits image coding",
abstract = "The basis size and number of bases in a basis dictionary (codebook) are the dominant parameters in the complexity of coding data by Matching Pursuits (MP). By Basis Picking for a range of constrained basis widths on a training image coded by 1D MP, dictionaries are obtained for both still and residual images and applied in both 1D and 2D coding. On still (intra) images fidelity measured by PSNR is optimum for widths in the range 9 to 13 and dictionary sizes from 14 to 18. For residual images similar results are obtained but the bias towards narrower, smaller dictionaries is even more marked. The resulting combinations of 1D and 2D dictionaries offer significantly lower computational cost while maintaining high quality.",
author = "Monro, \{D. M.\} and Yuan Yuan",
year = "2005",
doi = "10.1109/ICIP.2005.1530038",
language = "英语",
isbn = "0780391349",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "249--252",
booktitle = "IEEE International Conference on Image Processing 2005, ICIP 2005",
note = "IEEE International Conference on Image Processing 2005, ICIP 2005 ; Conference date: 11-09-2005 Through 14-09-2005",
}