LIQUID DISCHARGE APPARATUS
    2.
    发明公开

    公开(公告)号:US20240343046A1

    公开(公告)日:2024-10-17

    申请号:US18635177

    申请日:2024-04-15

    Applicant: Yuuta Aoki

    Inventor: Yuuta Aoki

    CPC classification number: B41J2/235 B41J2/13 B41J2/2114 B41J29/393 G01J3/46

    Abstract: A liquid discharge apparatus includes multiple liquid discharge heads, a medium mover, and circuitry. The multiple liquid discharge heads include a first liquid discharge head to discharge a treatment liquid onto a region of the medium and a second liquid discharge head to discharge a color liquid onto the region to paint the region, on which the treatment liquid is applied, in a predetermined color. The circuitry causes the first and second liquid discharge heads to form an evaluation chart. The evaluation chart includes patterns different in a combination of a first discharge amount of the treatment liquid and a second discharge amount of the color liquid. Further, the circuitry performs a setting of the first discharge amount with respect to the second discharge amount according to the coloring, and causes the second liquid discharge head to discharge the treatment liquid onto the region based on the setting.

    System and method to calibrate color measurement devices

    公开(公告)号:US11733099B2

    公开(公告)日:2023-08-22

    申请号:US16668879

    申请日:2019-10-30

    Applicant: DATACOLOR INC.

    Inventor: Zhiling Xu

    Abstract: A system including a processor and a memory configured to store code executed by the processor is provided. In one or more implementations, the processor is configured by the code to calibrate measurements made by color measurement devices. In one particular implementation, the processor receives a measurement dataset of one or more color values, for a sample obtained by a color measurement device. The processor is configured to convert the measurement dataset to a standard space measurement dataset using a standard space measurement model and calculate a color dataset based on the standard space measurement dataset using a color conversion model. The processor is further configured to output the calculated color dataset to at least one of a display, database or local memory store.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

    公开(公告)号:US20190145819A1

    公开(公告)日:2019-05-16

    申请号:US16083560

    申请日:2017-04-13

    Abstract: An information processing device configured to obtain an index with regard to light entering a measurement target region in a wider range is disclosed. The information processing device calculates, on a basis of a measured value of a reference reflection region, a reference index including a sunny place reference index and a shady place reference index, and calculates, on a basis of a measured value of a measurement target region obtained by performing sensing for the measurement target region and the reference index, a measurement target region index including a sunny measurement target region index being an index with regard to light entering a sunny region in the measurement target region and a shady measurement target region index being an index with regard to light entering a shady region in the measurement target region.

    METHOD FOR ASCERTAINING TEXTURE PARAMETERS OF A PAINT

    公开(公告)号:US20190078936A1

    公开(公告)日:2019-03-14

    申请号:US15771577

    申请日:2016-10-27

    Abstract: Described herein is a method for predicting visual texture parameters of a paint having a known paint formulation. The visual texture parameters of the paint are determined using an artificial neural network on the basis of a number of color components used in the known paint formulation. The method includes determining a value of at least one characteristic variable describing at least one optical property using a physical model for the known paint formulation. The method also includes assigning the value to the known paint formulation, and transmitting the value to the artificial neural network as an input signal for determining the visual texture parameters. The value describes the at least one optical property for at least some of the number of color components of the known paint formulation. The method further includes training the neural network using a plurality of color originals each having a respective known paint formulation.

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