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	Lossless compression of hyperspectral imasges using improved locally averaged interband scaling lookup tables
	Gao, Zong-Chang ; Zhang, Xiao-Ling ; Zhang XL(张晓玲)
	2011
关键词	Algorithms Forecasting Image compression Pattern recognition Remote sensing Wavelet analysis
英文摘要	Conference Name:2011 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2011. Conference Address: Guilin, Guangxi, China. Time:July 10, 2011 - July 13, 2011.; Hebei University; IEEE Systems, Man and Cybernetics Society; Chongqing University; South China University of Technology; Hong Kong Baptist University; In this paper, an improved algorithm for the Locally Averaged Interband Scaling Lookup Tables (LAIS-LUT) prediction method is proposed, which is based on prediction using lookup tables. The predictor of LAIS-LUT is selected from one of two lookup tables regardless of whether or not it is close to the LAIS-LUT prediction. However, there are cases when the predictions are not accurate. The algorithm provides more choices for the predictor than the LAIS-LUT method, according to size of the values returned by lookup tables and the LAIS estimate. Therefore, the proposed method can give a more accurate prediction than LAIS-LUT method. Experimental results show that the proposed method outperforms both LUT and LAIS-LUT methods. In addition, the proposed algorithm is comparable to the Multiband Lookup Tables (M-LUT) method. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICWAPR.2011.6014498
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/87035]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Gao, Zong-Chang,Zhang, Xiao-Ling,Zhang XL. Lossless compression of hyperspectral imasges using improved locally averaged interband scaling lookup tables. 2011-01-01.

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