Karhunen-Loeve multispectral image restoration, part I: Theory
Karhunen-Loeve multispectral image restoration, part I: Theory
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DOI：
10.1109/tassp.1984.1164363
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发表时间：
1984-06
期刊：
影响因子：
--
通讯作者：
B. Hunt;O. Kubler
中科院分区：
文献类型：
--
作者：
B. Hunt;O. Kubler
单色图像的最优图像恢复理论已经建立。然而，各种传感器获取多光谱或多色图像。本文研究了多光谱图像的最优维纳复原方法。结果表明，最优恢复必须发生在Karhunen-Loeve域中。进一步表明，高质量的近似多光谱恢复必须以比精确恢复更少的计算成本实现。后一点是应用于一个快速近似程序的发展，以恢复传统的彩色摄影。
The theory of optimal image restoration is well established for monochrome imagery. However, a variety of sensors acquire multi-spectral or polychrome imagery. The restoration of multispectral imagery by optimal (Wiener) methods is developed in this paper. It is shown that optimal restoration must take place in the Karhunen-Loeve domain. It is further shown that high quality approximate multispectral restorations must be achieved at less computational cost than exact restoration. This latter point is applied to the development of a fast approximate procedure for restoration of conventional color photography.