FIELD: physics, computer engineering.
SUBSTANCE: invention relates to means of reconstructing a surveillance object on an image. The method comprises creating an object model in space, converting the object model from object space into a data space to obtain a data model, selecting a merit function to determine approximation of the data model, determining an updating variable of the object model, smoothing the updating variable via convolution thereof using each pixon kernel, selecting for each point of the input object a pixon kernel having the greatest size and which corresponds to a predetermined minimum criterion, generating a pixon map by assigning indices at each point of the object, which correspond to the selected pixon kernel, generating an output object model based on indices within the pixon map.
EFFECT: reduced object noise in a reconstructed image.
21 cl, 14 dwg
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Authors
Dates
2014-11-10—Published
2012-04-16—Filed