本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
结合这种压缩思想，用基于离散余弦变换和基于离散小波变换的压缩算法，对实用型模块化成像光谱仪多光谱图像进行压缩。
Combining the thought dimensioned above, with discrete cosine transform-based and DWT-based compression algorithms, the OMIS multi-spectral images are compressed.
结合这种压缩思想，用基于离散余弦变换和基于离散小波变换的压缩算法，对实用型模块化成像光谱仪多光谱图像进行压缩。
Combining the thought dimensioned above, with discrete cosine transform-based and DWT-based compression algorithms, the OMIS multi-spectral images are compressed.
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