ABSTRACT
In recent years, considerable work has been conducted in multispectral imaging, which expands color cameras’ capability to capture spectral information at multiple wavelengths other than visible light. Multispectral images have been widely investigated for their applications in remote sensing [1], [2] to analyze the landscapes and structures from aircrafts or satellites. Particularly, differences in spectral signatures among various land covers enable the detection and classification of different crops or minerals [3], [4]. Multispectral imaging has also been widely used in the field of biological microscopy in an effort to discriminate multiple co-localized fluorescent molecules [5], [6], [7]. Using common mi-
croscopy methods, the number of molecules that can be detected simultaneously is limited by both spectral and spatial overlap. These issues can be tackled using spectral information which extends the possibilities to distinguish multiple proteins, organelles or functions within a single cell [8]. In biomedical imaging, one of the potential applications of multispectral imagery is the detection of breast cancer at its early stage when cancer cells are still very small in size but show aggressive growth activities which can be picked up by infrared imaging [9], [10]. Moreover, multispectral imaging is a significant technology for the acquisition, analysis, and display of accurate color information [11], [12], [13].
