It is not examining the image and attempting to recognize or extract a three-dimensional model which may be depicted i.e. The task in vectorization is to convert a two-dimensional image into a two-dimensional vector representation of the image.

Edges and filled areas are represented as mathematical curves or gradients, and they can be magnified arbitrarily (though of course the final image must also be rasterized in to be rendered, and its quality depends on the quality of the rasterization algorithm for the given inputs). Ideally, a vector image does not have the same problem. Images of sharp edges become fuzzy or jagged.

The halftone dots, film grains, and pixels become apparent. If the image is magnified enough, its artifacts appear.

While such an image is useful, it has some limits. In the picture, scaling the bitmap reveals the pixels while scaling the vector image preserves the shapes.Īn image does not have any structure: it is just a collection of marks on paper, grains in film, or pixels in a bitmap. The bitmap image is composed of a fixed set of pixels, while the vector image is composed of a fixed set of shapes. This image illustrates the difference between bitmap and vector images.

Inkscape trace bitmap to vector