Linear Scale - Space of Spectral and Color Images

This paper addresses the problem of mixing spectral bands and space in a smooth, linear, and casual manner. Such properties are of fundamental importance for many basic multi-spectral-image processing algorithms that probe inter-spectral structure. The example of color images is used in a simple spectral perspective. An example is given comparing the deep structure of the color and the gray gradient magnitude. Abstract This paper addresses the problem of mixing spectral bands and space in a smooth, linear, and casual manner. Such properties are of fundamental importance for many basic multi-spectral-image processing algorithms that probe inter-spectral structure. The example of color images is used in a simple spectral perspective. An example is given comparing the deep structure of the color and the gray gradient magnitude.