1. A motion blur modeling method for image formation, comprising: obtaining image data utilized to form a particular image taken by a camera of a subject; obtaining, from a source curve, velocity vector data for the subject at the time the image was taken by identifying a residence time of a point along the source curve, wherein: the residence time of the point along the source curve is an amount of time the point spends within a particular pixel; and the source curve is a locus of a plurality of points in an image plane, corresponding to a single pixel of the image, wherein at least one of the plurality of points has a trajectory that passes over another one of the plurality of points in the single pixel; defining a convolution kernel for use formation of the particular image and based upon the velocity vector data; and applying the convolution kernel to the image data to produce a de-blurred set of image data utilized to form the particular image.