Lossless compact histogram representation for multi-component images : application to histogram equalization.

被引：0
|
作者：
Chanussot, J [1 ]
Clement, A [1 ]
Vigouroux, B [1 ]
Chabod, J [1 ]
机构：
[1] INPG, LIS, F-38402 St Martin Dheres, France
来源：
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES | 2003年
关键词：
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this paper, the problem of histogram representation is addressed. In the case of multi-component images, this problem is not trivial : the theoretical "naive" required memory space goes exponentially beyond todays technical capacities. To overcome this problem, we present a lossless compact representation of vector histograms. It is based on the use of a space filling curve to index the data space. The application of this representation to vector histogram equalization is then considered.
引用
收藏
页码：3940 / 3942
页数：3
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