Image processing apparatus, learning apparatus, image processing method, learning method, and storage medium for estimating printing result
摘要
說(shuō)明書(shū)
In the present embodiment, the tone of the input image data is 1 bit, the tone of the intermediate data is 1 bit, and the tone of the estimated image data is 8 bits. Note, however, that the technique of the present disclosure is not limited to these. In an example, the tone of the input image data may be 2 bits, the tone of the intermediate data may be 2 bits, and the tone of the estimated image data may be 16 bits.
The learning unit 205 includes a first learning unit 206, a second learning unit 207, and a learning intermediate data obtaining unit 208. The first learning unit 206 causes the first estimation unit 203 to learn the weights of layers in a neural network, which are its internal parameters. Likewise, the second learning unit 207 causes the second estimation unit 204 to learn the weights of layers in a neural network, which are its internal parameters.
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