The purpose of this work is to study a method that can generate a compact and accurate mesh representation of vector-valued images. A vector-valued image is defined here as a signal that consists of two or more components defined over a common 2D domain. Examples of vector-valued images include color images, multi-spectral images, and multi-modality medical images (e.g.., CT/MRI). Our goal is to obtain a mesh structure for a vector-valued image so that all the individual components of the image can be accurately represented by the same mesh.
Next we show the interpolated images from mesh structure obtained based on the intensity of the image; denoted  BW CAMM and BW Quadtree, alone using the proposed algorithm. When compare interpolated images, it is clear that in intensity based mesh structure the color transition boundaries between are not as well defined. As a result, the image represented by this mesh suffers from color bleeding at these color boundaries. 

Original	Proposed CAMM	BW CAMM	BW Quad tree

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