FIELD: image processing means.
SUBSTANCE: invention relates to image processing. Computing system for performing automatic image processing comprises: a first neural network for forming a coarse image z by object segmentation O from initial image x, containing object O and background Bx, using segmentation mask, and cutting with segmented object mask O from image x and inserting it into an image y, containing only background By; a second neural network for creating an improved version images ŷ with inserted segmented object O by improving coarse image z based on original images x and y and a mask m; third neural network for image reconstruction only background
without remote segmented object O by drawing an image obtained by zeroing pixel images x using a mask m; wherein the first, second and third neural networks are combined into a common neural network architecture for successive segmentation, enhancement and drawing and simultaneous training; wherein the general architecture of the neural network receives images and outputs the processed images of the same size.
EFFECT: higher efficiency of image processing.
26 cl, 5 dwg
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Authors
Dates
2019-12-30—Published
2019-02-20—Filed