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A general framework for low level vision
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DOI：10.1109/83.661181.png)
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Abstract
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We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented, We consider intensity images as surfaces in the (x.I) space, The image is, thereby, a two-dimensional (2-D) surface in three-dimensional (3-D) space for gray-level images, and 2-D surfaces in five dimensions for color images. The new formulation unifies many classical schemes and algorithms via a simple scaling of the intensity contrast, and results in new and efficient schemes, Extensions to multidimensional signals become natural and lead to powerful deionising and scale space algorithms.
Keywords:
color image processing
image enhancement
image smoothing
nonlinear image diffusion
scale-space
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