MACHINE LEARNING OF EDGE RESTORATION FOLLOWING CONTRAST SUPPRESSION/MATERIAL SUBSTITUTION

MACHINE LEARNING OF EDGE RESTORATION FOLLOWING CONTRAST SUPPRESSION/MATERIAL SUBSTITUTION

The present invention relates to edge restoration. In order to improve a restoration of the artificially created cleansed edges, an apparatus is proposed to automatically restore image edges after digital subtraction of digital material substitution to optimally resemble image edges in unmodified lo...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: GOSHEN, Liran, CAROLUS RUPPERTSHOFEN, Heike, WIEMKER, Rafael, KLINDER, Tobias
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:The present invention relates to edge restoration. In order to improve a restoration of the artificially created cleansed edges, an apparatus is proposed to automatically restore image edges after digital subtraction of digital material substitution to optimally resemble image edges in unmodified locations. The appearance of edges is machine-learned in an unsupervised non-analytical way from unmodified locations, and then, after digital suppression or digital material substitution, applied to the artificially created cleansed edges.