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Image processing apparatus, learning apparatus, image processing method, learning method, and storage medium for estimating printing result

專(zhuān)利號(hào)
US11175863B2
公開(kāi)日期
2021-11-16
申請(qǐng)人
CANON KABUSHIKI KAISHA(JP Tokyo)
發(fā)明人
Satoshi Ikeda
IPC分類(lèi)
G06F3/12; G06N3/08; G06N3/04
技術(shù)領(lǐng)域
image,data,estimation,learning,unit,in,printing,scanned,math,input
地域: Tokyo

摘要

The technique of the present disclosure provides an image processing apparatus for estimating a printing result of image data to be printed with a small amount of operation after the image data is obtained. The apparatus is an image processing apparatus for estimating a printing result to be obtained by printing input image data with a printer, including: an obtaining unit that obtains the input image data; and an estimation unit that estimates the printing result based on the input image data. The estimation unit has been caused to learn scanned image data as correct data, the scanned image data being obtained by reading, with a scanner, a printing result obtained by printing predetermined image data with the printer.

說(shuō)明書(shū)

A configuration of the image estimation processing unit 902 in the present embodiment will be described below. Unlike in embodiment 1, the image estimation processing unit 902 includes a single neural network. FIG. 10 shows an example configuration of the neural network in the image estimation processing unit 902. Although the process in the present embodiment will be described below based on the neural network shown in FIG. 10, the technique of the present disclosure is not limited to it.

First, a convolution layer 1001 performs convolution operation on 256×256×4 input image data. For the pixel value of the input image data at a position (x, y) in a p plane being I(x, y, p1), output image data IG1(x, y, p2) from the convolution layer 1001 is calculated by the equation below.

I G ? ? 1 ? ( x , y ) = p = 1 p = 4 ?

權(quán)利要求

1
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